diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md index e28c6a8f..2bc52164 100644 --- a/.github/CONTRIBUTING.md +++ b/.github/CONTRIBUTING.md @@ -1,3 +1,14 @@ ## Updating the versioning -Please add to `changelog.yaml` and then run `make changelog` before committing the results ONCE in this PR. +Please add to `changelog_entry.yaml` an entry in the format: + +```yaml +- bump: minor + changes: + added: + - New feature. + fixed: + - Bug fix. + changed: + - Change. +``` diff --git a/.github/workflows/any_changes.yaml b/.github/workflows/any_changes.yaml new file mode 100644 index 00000000..f45934f3 --- /dev/null +++ b/.github/workflows/any_changes.yaml @@ -0,0 +1,26 @@ +# Workflow that runs on code changes to a pull request. + +name: Any changes +on: + pull_request: + branches: + - main + +jobs: + docs: + name: Test documentation builds + runs-on: ubuntu-latest + steps: + - name: Checkout repo + uses: actions/checkout@v2 + + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.10' + + - name: Install package + run: make install + + - name: Test documentation builds + run: make documentation \ No newline at end of file diff --git a/.github/workflows/code_changes.yaml b/.github/workflows/code_changes.yaml new file mode 100644 index 00000000..acd4db3f --- /dev/null +++ b/.github/workflows/code_changes.yaml @@ -0,0 +1,41 @@ +# Workflow that runs on code changes to a pull request. + +name: Code changes +on: + pull_request: + branches: + - main + + paths: + - policyengine/** + - tests/** + +jobs: + Lint: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Check formatting + uses: "lgeiger/black-action@master" + with: + args: ". -l 79 --check" + Test: + runs-on: ubuntu-latest + steps: + - name: Checkout repo + uses: actions/checkout@v2 + - name: Install uv + uses: astral-sh/setup-uv@v5 + + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.10' + + - name: Install package + run: uv pip install .[dev] --system + + - name: Run tests + run: make test + env: + HUGGING_FACE_TOKEN: ${{ secrets.HUGGING_FACE_TOKEN }} \ No newline at end of file diff --git a/.github/workflows/pr.yml b/.github/workflows/pr.yml deleted file mode 100644 index 28fd3178..00000000 --- a/.github/workflows/pr.yml +++ /dev/null @@ -1,48 +0,0 @@ -name: Pull request -on: - pull_request: - branches: [ main ] - -jobs: - Lint: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - name: Check formatting - uses: "lgeiger/black-action@master" - with: - args: ". -l 79 --check" - Test: - runs-on: ubuntu-latest - steps: - - name: Checkout repo - uses: actions/checkout@v2 - - - name: Set up Python - uses: actions/setup-python@v2 - with: - python-version: '3.10' - - - name: Install package - run: make install - - - name: Install dependencies - run: | - pip install jupyter-book - pip install furo - pip install sphinx-argparse - - - name: Generate documentation - run: make documentation - env: - HUGGING_FACE_TOKEN: ${{ secrets.HUGGING_FACE_TOKEN }} - - - name: Check documentation build - run: | - for notebook in $(find docs/_build/jupyter_execute -name "*.ipynb"); do - if grep -q '"output_type": "error"' "$notebook"; then - echo "Error found in $notebook" - cat "$notebook" - exit 1 - fi - done diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml new file mode 100644 index 00000000..661a042f --- /dev/null +++ b/.github/workflows/publish.yaml @@ -0,0 +1,29 @@ +name: Push +on: + push: + branches: [ main ] + paths: + - pyproject.toml + +jobs: + Publish: + runs-on: ubuntu-latest + steps: + - name: Checkout repo + uses: actions/checkout@v4 + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: 3.12 + - name: Publish a git tag + run: ".github/publish-git-tag.sh || true" + - name: Install package + run: make install + - name: Build package + run: make + - name: Publish a Python distribution to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 + with: + user: __token__ + password: ${{ secrets.PYPI }} + skip-existing: true \ No newline at end of file diff --git a/.github/workflows/push.yml b/.github/workflows/push.yml deleted file mode 100644 index ad3119f4..00000000 --- a/.github/workflows/push.yml +++ /dev/null @@ -1,69 +0,0 @@ -name: Push -on: - push: - branches: [ main ] - -jobs: - Lint: - runs-on: ubuntu-latest - if: | - (github.repository == 'PolicyEngine/policyengine-us') - && (github.event.head_commit.message == 'Update PolicyEngine US') - steps: - - uses: actions/checkout@v4 - - name: Check formatting - uses: "lgeiger/black-action@master" - with: - args: ". -l 79 --check" - Publish: - runs-on: ubuntu-latest - steps: - - name: Checkout repo - uses: actions/checkout@v4 - - name: Setup Python - uses: actions/setup-python@v5 - with: - python-version: 3.12 - - name: Publish a git tag - run: ".github/publish-git-tag.sh || true" - - name: Install package - run: make install - - name: Build package - run: make - - name: Publish a Python distribution to PyPI - uses: pypa/gh-action-pypi-publish@release/v1 - with: - user: __token__ - password: ${{ secrets.PYPI }} - skip-existing: true - Deploy: - runs-on: ubuntu-latest - steps: - - name: Checkout repo - uses: actions/checkout@v2 - - - name: Setup Python - uses: actions/setup-python@v2 - with: - python-version: '3.10' - - - name: Install package - run: make install - - - name: Install dependencies - run: | - pip install jupyter-book - pip install furo - pip install sphinx-argparse - - - name: Generate documentation - run: make documentation - env: - HUGGING_FACE_TOKEN: ${{ secrets.HUGGING_FACE_TOKEN }} - - - name: Deploy documentation - uses: JamesIves/github-pages-deploy-action@releases/v3 - with: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - BRANCH: gh-pages - FOLDER: docs/_build/html \ No newline at end of file diff --git a/.github/workflows/versioning.yaml b/.github/workflows/versioning.yaml new file mode 100644 index 00000000..53709c4e --- /dev/null +++ b/.github/workflows/versioning.yaml @@ -0,0 +1,34 @@ +# Workflow that runs on versioning metadata updates. + +name: Versioning updates +on: + push: + branches: + - main + + paths: + - changelog_entry.yaml + +jobs: + Versioning: + runs-on: ubuntu-latest + steps: + - name: Checkout repo + uses: actions/checkout@v4 + with: + repository: ${{ github.event.pull_request.head.repo.full_name }} + ref: ${{ github.event.pull_request.head.ref }} + token: ${{ secrets.POLICYENGINE_GITHUB }} + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: 3.12 + - name: Build changelog + run: pip install yaml-changelog && make changelog + - name: Preview changelog update + run: ".github/get-changelog-diff.sh" + - name: Update changelog + uses: EndBug/add-and-commit@v9 + with: + add: "." + message: Update package version \ No newline at end of file diff --git a/.gitignore b/.gitignore index b149da0c..42030f64 100644 --- a/.gitignore +++ b/.gitignore @@ -160,3 +160,5 @@ cython_debug/ #.idea/ *.ipynb + +!docs/**/*.ipynb diff --git a/CHANGELOG.md b/CHANGELOG.md index b6f8f2a4..5e4c81b6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [2.5.0] - 2025-01-24 00:08:26 + +### Changed + +- Moved to strong typing. + ## [2.4.1] - 2025-01-09 10:52:28 ### Fixed @@ -70,6 +76,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 +[2.5.0]: https://github.com/PolicyEngine/policyengine.py/compare/2.4.1...2.5.0 [2.4.1]: https://github.com/PolicyEngine/policyengine.py/compare/2.4.0...2.4.1 [2.4.0]: https://github.com/PolicyEngine/policyengine.py/compare/2.3.0...2.4.0 [2.3.0]: https://github.com/PolicyEngine/policyengine.py/compare/2.2.2...2.3.0 diff --git a/Makefile b/Makefile index c6c87d36..c1b795b7 100644 --- a/Makefile +++ b/Makefile @@ -19,3 +19,6 @@ changelog: build: python -m build + +test: + pytest tests \ No newline at end of file diff --git a/changelog.yaml b/changelog.yaml index 38ab0d20..4ee02bf8 100644 --- a/changelog.yaml +++ b/changelog.yaml @@ -52,3 +52,8 @@ fixed: - Subsetting bug with time periods. date: 2025-01-09 10:52:28 +- bump: minor + changes: + changed: + - Moved to strong typing. + date: 2025-01-24 00:08:26 diff --git a/docs/.DS_Store b/docs/.DS_Store new file mode 100644 index 00000000..cbf579b9 Binary files /dev/null and b/docs/.DS_Store differ diff --git a/docs/_config.yml b/docs/_config.yml index 709a2a4a..8fa2c6b7 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -5,7 +5,7 @@ copyright: "2025" logo: logo.png execute: - execute_notebooks: force + execute_notebooks: cache stderr_output: error timeout: 600 @@ -14,6 +14,8 @@ repository: branch: master path_to_book: docs +title: Python documentation + sphinx: config: html_js_files: @@ -24,3 +26,6 @@ sphinx: - style.css extra_extensions: - "sphinx.ext.autodoc" + - "sphinxcontrib.autodoc_pydantic" + +only_build_toc_files: true \ No newline at end of file diff --git a/docs/_static/style.css b/docs/_static/style.css index 2a7a0ae4..80baddf8 100644 --- a/docs/_static/style.css +++ b/docs/_static/style.css @@ -1,9 +1,15 @@ @import url('https://fonts.googleapis.com/css2?family=Roboto+Serif:opsz@8..144&family=Roboto:wght@300&display=swap'); -h1, h2, h3, h4, h5, h6 { + +h1, h2, h3, h4, h5, p.rubric { font-family: "Roboto"; + font-weight: 200; } body { font-family: "Roboto Serif"; -} \ No newline at end of file +} + +.sidebar-brand-text { + text-align: left; +} diff --git a/docs/_toc.yml b/docs/_toc.yml index 65bcb573..097c1d8e 100644 --- a/docs/_toc.yml +++ b/docs/_toc.yml @@ -1,10 +1,6 @@ format: jb-book root: index parts: - - caption: Maintenance - chapters: - - file: maintaining - caption: Reference chapters: - file: reference/simulation - - file: reference/calculate \ No newline at end of file diff --git a/docs/index.ipynb b/docs/index.ipynb index 2c32f3af..74d4e9d7 100644 --- a/docs/index.ipynb +++ b/docs/index.ipynb @@ -4,25 +4,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Introduction\n", + "# PolicyEngine Python interface\n", "\n", - "The PolicyEngine Python package serves as a package unifying all PolicyEngine tax-benefit models and outputs, providing the highest-level interface outside of the web app. It's aimed to provide a clear, simple interface to specify model inputs and pull out model outputs, both at the household and macro level.\n", + "Welcome to the documentation for PolicyEngine, a Python package for analyzing tax-benefit policies and estimating their societal impacts.\n", "\n", - "Generally, PolicyEngine's models' usage falls into a 2x2 of categories:\n", + "## Overview\n", "\n", - "1. Simulating over a specific household\n", + "This package enables users to create and simulate different scenarios of specific or representative households in a country, under different tax-benefit rules or economic assumptions.\n", "\n", - " a. Simulating a particular policy (scenario) over a household (e.g. what benefits am I entitled to now?)\n", + "We currently support the UK and the US.\n", "\n", - " b. Comparing two policies over a household (how would this tax reform affect my net income?)\n", - "2. Simulating over the entire population\n", + "## Quick start\n", "\n", - " a. Simulating a particular policy over the population (what's the poverty rate right now?)\n", + "To install the package, run:\n", "\n", - " b. Comparing two policies over the population (how would this tax reform affect the poverty rate?)\n", + "```bash\n", + "pip install policyengine\n", + "```\n", "\n", - "\n", - "Here's an example of how to use it to calculate how abolishing the Personal Allowance in the UK (US- standard deduction) would affect an earner on £30,000." + "Then, for example:" ] }, { @@ -33,7 +33,7 @@ { "data": { "text/plain": [ - "-2514.0" + "EconomyComparison(fiscal=FiscalComparison(baseline=FiscalSummary(tax_revenue=658911285719.5891, federal_tax=658911285719.5891, state_tax=0.0, government_spending=349760026840.3932, tax_benefit_programs={'income_tax': 333376287037.05945, 'national_insurance': 52985626776.773834, 'ni_employer': 126330649370.35953, 'vat': 211671832822.39133, 'council_tax': 49007055050.00724, 'fuel_duty': 26506672341.204205, 'tax_credits': -34929879.49872104, 'universal_credit': -73459549194.97665, 'child_benefit': -14311471487.935827, 'state_pension': -132795868621.44594, 'pension_credit': 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gain_less_than_5_percent_share=0.9833489364919241, gain_more_than_5_percent_share=0.01640630470738194), 6: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.025790631489697343, gain_share=0.9742093685103027, gain_less_than_5_percent_share=0.9861761877807416, gain_more_than_5_percent_share=0.013823812219258384), 7: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.00020866319896562508, lose_share=4.163438722119544e-05, no_change_share=0.08407934672412146, gain_share=0.9158790188886573, gain_less_than_5_percent_share=0.9021123857304735, gain_more_than_5_percent_share=0.09767895107056095), 8: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.056524409525954916, gain_share=0.9434755904740451, gain_less_than_5_percent_share=0.9366881433479168, gain_more_than_5_percent_share=0.06331185665208312), 9: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.008053685714292545, lose_share=0.008053685714292545, no_change_share=0.027806404912023186, gain_share=0.9641399093736843, gain_less_than_5_percent_share=0.9371641387443307, gain_more_than_5_percent_share=0.05478217554137677), 10: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=4.868756468537358e-08, lose_share=4.868756468537358e-08, no_change_share=0.06985295508301145, gain_share=0.9301469962294239, gain_less_than_5_percent_share=0.806768831589799, gain_more_than_5_percent_share=0.1932311197226364)}, all=IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0010924738666159373, lose_share=0.0008384108829899095, no_change_share=0.16458777279036807, gain_share=0.8345738163266421, gain_less_than_5_percent_share=0.947301858492644, gain_more_than_5_percent_share=0.051605667640740344)))), poverty=[PovertyRateMetricComparison(age_group='child', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.0866740345954895, reform=0.08660321682691574, change=-7.081776857376099e-05, relative_change=-0.0008170586370447596), PovertyRateMetricComparison(age_group='child', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.005887233652174473, reform=0.005886665545403957, change=-5.681067705154419e-07, relative_change=-9.649808451302242e-05), PovertyRateMetricComparison(age_group='child', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=1636588.5, reform=1635251.25, change=-1337.25, relative_change=-0.0008170960507176972), PovertyRateMetricComparison(age_group='child', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=111163.3828125, reform=111152.65625, change=-10.7265625, relative_change=-9.649366750643566e-05), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.08067396283149719, reform=0.07947173714637756, change=-0.001202225685119629, relative_change=-0.014902276309776728), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.020408159121870995, reform=0.020407630130648613, change=-5.289912223815918e-07, relative_change=-2.5920575159308858e-05), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=3613979.5, reform=3560123.0, change=-53856.5, relative_change=-0.014902270474970874), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=914231.375, reform=914207.75, change=-23.625, relative_change=-2.584137959605685e-05), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.033274661749601364, reform=0.03287290409207344, change=-0.0004017576575279236, relative_change=-0.012073981714712297), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.0007299797143787146, reform=0.0007292248192243278, change=-7.548951543867588e-07, relative_change=-0.0010341316882062261), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=436230.6875, reform=430963.625, change=-5267.0625, relative_change=-0.01207403021136609), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=9570.03125, reform=9560.134765625, change=-9.896484375, relative_change=-0.0010341120228839378), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.07405699789524078, reform=0.07326966524124146, change=-0.0007873326539993286, relative_change=-0.01063144167838224), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.01347795594483614, reform=0.013477379456162453, change=-5.764886736869812e-07, relative_change=-4.277270797192756e-05), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=5686796.5, reform=5626338.0, change=-60458.5, relative_change=-0.010631380954110104), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=1034964.875, reform=1034920.625, change=-44.25, relative_change=-4.27550741758265e-05)], labor_supply=[])" ] }, "execution_count": 1, @@ -44,60 +44,16 @@ "source": [ "from policyengine import Simulation\n", "\n", - "sim = Simulation(\n", - " country=\"uk\",\n", - " scope=\"household\",\n", - " data={\n", - " \"employment_income\": {\n", - " 2025: 30_000\n", - " },\n", + "sim = Simulation({\n", + " \"scope\": \"macro\",\n", + " \"country\": \"uk\",\n", + " \"time_period\": 2025,\n", + " \"reform\": {\n", + " \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": 15000\n", " },\n", - " time_period=2025,\n", - " reform={\n", - " \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": {\n", - " \"2025\": 0,\n", - " }\n", - " }\n", - ")\n", - "sim.calculate(\"household/comparison/net_income_change\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And here's an example of how to calculate how the same policy would affect the UK government's tax revenue." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "130.69994101206225" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sim = Simulation(\n", - " country=\"uk\",\n", - " scope=\"macro\",\n", - " data=\"enhanced_frs\",\n", - " time_period=2025,\n", - " reform={\n", - " \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": {\n", - " \"2025\": 0,\n", - " }\n", - " }\n", - ")\n", - "sim.calculate(\"macro/comparison/budget/general/tax_revenue_impact\")/1e9" + "})\n", + "\n", + "sim.calculate_economy_comparison()" ] } ], diff --git a/docs/maintaining.ipynb b/docs/maintaining.ipynb deleted file mode 100644 index d700fef4..00000000 --- a/docs/maintaining.ipynb +++ /dev/null @@ -1,36543 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Maintainance\n", - "\n", - "This package is intended to be simple for users to use, but also for maintainers to maintain (with some kind of maintenance specifically prioritised).\n", - "\n", - "There are two ways we might want to improve this package:\n", - "\n", - "1. Adding more 'outputs' (e.g. more types of results from the simulation inputs, using the underlying tax-benefit models).\n", - "2. Everything else related to the underlying way that the package uses the models.\n", - "\n", - "This package is meant to make (1) as easy as possible, which may come at the expense of some ease of maintaining (2).\n", - "\n", - "## Model outputs\n", - "\n", - "The package is centered around an 'output tree': a hierarchical nested dictionary of outputs from the model, of the type that the user asked for. For example, if we are doing a macro analysis, we might expect something like:\n", - "\n", - "```yaml\n", - "macro:\n", - " baseline:\n", - " tax_revenue: 100 billion\n", - " reform:\n", - " tax_revenue: 200 billion\n", - " comparison:\n", - " tax_revenue_impact: 100 billion\n", - "```\n", - "\n", - "If you look at the file structure of the repo, you'll see a folder `policyengine/outputs/`. This is where all the behaviour to deal with the models is housed. It's designed so that maintainers should be able to add something new, e.g. `macro/comparison/deep_poverty_impact` or `macro/single/deep_poverty_rate`, without needing to know how the rest of the repo works. Each file here is dynamically loaded into the tree (notice how `macro/comparison/tax_revenue_impact.py` aligns with that example- not a coincidence!), and must contain a single function, with the same name as the filename, that takes `policyengine.Simulation` as an argument. `policyengine.Simulation` has all the tax-benefit models initialised that the function might need, as well as all the metadata the user has passing in about their modelling request.\n", - "\n", - "There's a slight caveat here that not everything aligns exactly with this folder structure. At the top level, we have household and macro, but one layer down, we have 'single' (e.g. 'poverty rate') and 'comparison' (e.g. 'change in poverty rate'). At runtime, 'single' is duplicated into 'baseline' and 'reform' with the operations duplicated. For example, here's the output tree under that example from the introduction." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'comparison': {'inequality': {'gini': {'baseline': 0.3477095374202072,\n", - " 'reform': 0.358379064086748},\n", - " 'top_10_pct_share': {'baseline': 0.2999163898629839,\n", - " 'reform': 0.29907741159640616},\n", - " 'top_1_pct_share': {'baseline': 0.12430336324184335,\n", - " 'reform': 0.1347626305894055}},\n", - " 'labor_supply': {'earnings': {'baseline': 1340946114730.9246,\n", - " 'reform': 1340946114730.9246,\n", - " 'change': 0.0,\n", - " 'rel_change': 0.0},\n", - " 'fte': {'baseline': 32697735.717292428,\n", - " 'reform': 32697735.717292428,\n", - " 'change': 0.0,\n", - " 'rel_change': 0.0},\n", - " 'substitution_lsr': 0,\n", - " 'income_lsr': 0,\n", - " 'relative_lsr': {'income': 0.0, 'substitution': 0.0},\n", - " 'decile': {'average': {'income': {-1: 0.0,\n", - " 1: 0.0,\n", - " 2: 0.0,\n", - " 3: 0.0,\n", - " 4: 0.0,\n", - " 5: 0.0,\n", - " 6: 0.0,\n", - " 7: 0.0,\n", - " 8: 0.0,\n", - " 9: 0.0,\n", - " 10: 0.0},\n", - " 'substitution': {-1: 0.0,\n", - " 1: 0.0,\n", - " 2: 0.0,\n", - " 3: 0.0,\n", - " 4: 0.0,\n", - " 5: 0.0,\n", - " 6: 0.0,\n", - " 7: 0.0,\n", - " 8: 0.0,\n", - " 9: 0.0,\n", - " 10: 0.0}},\n", - " 'relative': {'income': {1: 0.0,\n", - " 2: 0.0,\n", - " 3: 0.0,\n", - " 4: 0.0,\n", - " 5: 0.0,\n", - " 6: 0.0,\n", - " 7: 0.0,\n", - " 8: 0.0,\n", - " 9: 0.0,\n", - " 10: 0.0},\n", - " 'substitution': {1: 0.0,\n", - " 2: 0.0,\n", - " 3: 0.0,\n", - " 4: 0.0,\n", - " 5: 0.0,\n", - " 6: 0.0,\n", - " 7: 0.0,\n", - " 8: 0.0,\n", - " 9: 0.0,\n", - " 10: 0.0}}},\n", - " 'hours': {'baseline': 0,\n", - " 'reform': 0,\n", - " 'change': 0,\n", - " 'income_effect': 0,\n", - " 'substitution_effect': 0}},\n", - " 'winners': {'income_decile': {'deciles': {'Lose more than 5%': [0.5699445204207915,\n", - " 0.7660513713045767,\n", - " 0.9115272979214745,\n", - " 0.9089873427537835,\n", - " 0.9373096641703852,\n", - " 0.9941993297036329,\n", - " 0.9805336310463555,\n", - " 0.9858380316796463,\n", - " 0.9817438716629977,\n", - " 0.8064217127560148],\n", - " 'Lose less than 5%': [0.04623230123984697,\n", - " 0.03264940515532148,\n", - " 0.04562889064169612,\n", - " 0.08283609431414457,\n", - " 0.0025646000919409126,\n", - " 0.005471902235667197,\n", - " 0.0012243282337455143,\n", - " 0.008294753032465218,\n", - " 0.009828016505105926,\n", - " 0.13497431791093376],\n", - " 'No change': [0.3837322978104784,\n", - " 0.20119103444945097,\n", - " 0.04279688484051441,\n", - " 0.008176562932071956,\n", - " 0.060123942584159866,\n", - " 0.00032212820585139553,\n", - " 0.01824204071989894,\n", - " 0.005867215287888402,\n", - " 0.008427906702891197,\n", - " 0.05860309479782797],\n", - " 'Gain less than 5%': [4.407871433254147e-05,\n", - " 6.785959400552714e-05,\n", - " 3.991669579473183e-05,\n", - " 0.0,\n", - " 3.0042263718780655e-07,\n", - " 6.639854848509014e-06,\n", - " 0.0,\n", - " 0.0,\n", - " 2.0512900514169538e-07,\n", - " 8.745352234896426e-07],\n", - " 'Gain more than 5%': [4.6801814550575795e-05,\n", - " 4.032949664533201e-05,\n", - " 7.009900520272418e-06,\n", - " 0.0,\n", - " 1.4927308768664487e-06,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0]},\n", - " 'all': {'Lose more than 5%': 0.8842556773419659,\n", - " 'Lose less than 5%': 0.03697046093608677,\n", - " 'No change': 0.07874831083310335,\n", - " 'Gain less than 5%': 1.5987494584712863e-05,\n", - " 'Gain more than 5%': 9.563394259304667e-06}},\n", - " 'wealth_decile': {'deciles': {'Lose more than 5%': [0.7244452463957647,\n", - " 0.862073306968986,\n", - " 0.79202346066192,\n", - " 0.7613851546679026,\n", - " 0.9474930410209476,\n", - " 0.9614123085389141,\n", - " 0.9746393034622329,\n", - " 0.9631525459078952,\n", - " 0.9619904466444714,\n", - " 0.8837320786919578],\n", - " 'Lose less than 5%': [0.04471485704482218,\n", - " 0.03391770357964914,\n", - " 0.013456314513479506,\n", - " 0.0662395329144922,\n", - " 0.04790899982173219,\n", - " 0.0111845171566151,\n", - " 0.014592355673430285,\n", - " 0.01931319905413729,\n", - " 0.019415596264529895,\n", - " 0.1017441544321992],\n", - " 'No change': [0.2308369348646134,\n", - " 0.10400898945136486,\n", - " 0.19446786367002267,\n", - " 0.17227826590095666,\n", - " 0.004564523391138226,\n", - " 0.0274031743044708,\n", - " 0.010768340864336793,\n", - " 0.017534255037967447,\n", - " 0.01852788944863214,\n", - " 0.014523766875843011],\n", - " 'Gain less than 5%': [2.9616947997033396e-06,\n", - " 0.0,\n", - " 4.5732673368976784e-05,\n", - " 8.582633055857693e-06,\n", - " 3.3435766181990405e-05,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0,\n", - " 6.606764236649033e-05,\n", - " 0.0],\n", - " 'Gain more than 5%': [0.0,\n", - " 0.0,\n", - " 6.6284812088544815e-06,\n", - " 8.846388359267392e-05,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0,\n", - " 0.0]},\n", - " 'all': {'Lose more than 5%': 0.8832346892960994,\n", - " 'Lose less than 5%': 0.0372487230455087,\n", - " 'No change': 0.0794914003809346,\n", - " 'Gain less than 5%': 1.5678040977301855e-05,\n", - " 'Gain more than 5%': 9.50923648015284e-06}}},\n", - " 'poverty': {'age': {'poverty': {'child': {'baseline': 0.12168890226715764,\n", - " 'reform': 0.13906769364828317,\n", - " 'change_count': 73691106859.13245},\n", - " 'adult': {'baseline': 0.055351100168371865,\n", - " 'reform': 0.0672586114608156,\n", - " 'change_count': 504814.53572523594},\n", - " 'senior': {'baseline': 0.0303155424559324,\n", - " 'reform': 0.05195631815912117,\n", - " 'change_count': 276136.16579508036},\n", - " 'all': {'baseline': 0.06255884933261711,\n", - " 'reform': 0.07729838532173021,\n", - " 'change_count': 991680.9987457916}},\n", - " 'deep_poverty': {'child': {'baseline': 0.010545578927003885,\n", - " 'reform': 0.011103545122285226},\n", - " 'adult': {'baseline': 0.004071394275275657,\n", - " 'reform': 0.004433283637913219},\n", - " 'senior': {'baseline': 0.00027242701576503007,\n", - 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" 40000: 1468807.3108290136,\n", - " 45000: 1215675.881689474,\n", - " 50000: 1354563.5807273462,\n", - " 55000: 964829.5402759314,\n", - " 60000: 922988.8669875562,\n", - " 65000: 957018.2603768259,\n", - " 70000: 1079843.9408770353,\n", - " 75000: 637419.0076136664,\n", - " 80000: 498186.0265044421,\n", - " 85000: 831455.4363349453,\n", - " 90000: 516631.74205611646,\n", - " 95000: 517338.60617863387,\n", - " 100000: 459757.5646894872,\n", - " 105000: 368505.1371051371,\n", - " 110000: 229580.181141451,\n", - " 115000: 460770.2185702473}},\n", - " 'gov': {'budget_window': {'total_tax': [780424314834.1508],\n", - " 'total_spending': [306280657459.9808],\n", - " 'total_state_tax': [0],\n", - " 'total_budget': [474143657374.17],\n", - " 'total_federal_budget': [474143657374.17]},\n", - " 'programs': {'income_tax': 459654340398.327,\n", - " 'national_insurance': 53168761056.25772,\n", - " 'vat': 214871983017.21628,\n", - " 'council_tax': 45077685919.83074,\n", - " 'fuel_duty': 25313698252.372284,\n", - " 'tax_credits': -81931249.11630942,\n", - " 'universal_credit': -74087374720.54732,\n", - " 'child_benefit': -14596018214.875364,\n", - " 'state_pension': -126747036451.91475,\n", - " 'pension_credit': -9598227786.405336,\n", - " 'ni_employer': 125551554850.68323},\n", - " 'balance': {'total_tax': 780424314834.1508,\n", - " 'total_spending': 306280657459.9808,\n", - " 'total_state_tax': 0},\n", - " 'local_areas': {'parliamentary_constituencies': {},\n", - " 'local_authorities': {}}}}}" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from policyengine import Simulation\n", - "\n", - "sim = Simulation(\n", - " country=\"uk\",\n", - " scope=\"macro\",\n", - " data=\"enhanced_frs\",\n", - " time_period=2025,\n", - " reform={\n", - " \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": {\n", - " \"2025\": 0,\n", - " }\n", - " }\n", - ")\n", - "sim.calculate(\"macro\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "base", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/docs/reference/calculate.md b/docs/reference/calculate.md deleted file mode 100644 index bdb6c0c1..00000000 --- a/docs/reference/calculate.md +++ /dev/null @@ -1,608 +0,0 @@ -# Calculate - -The `Simulation.calculate` function is the most important function in the `Simulation` class. Think of initialising the `Simulation` class as setting up the world model (with assumptions and data specified), and `calculate` as asking it a question (we refer to this as an `endpoint`). - -Generally, you call `calculate('folder/structure/question')`, with the questions being organised in a folder structure that makes sense. For example, we might call `Simulation.calculate('macro/comparison/budget/general/tax_revenue_impact')` to ask the model to calculate the impact of a tax revenue change on the budget. - -The set of possible questions depends on the parameters of the `Simulation` you've defined. For example, if you set up a simulation with household data describing a person who earns £30,000 a year, you can't ask it for the budgetary impact of a reform, but you can ask it for the change to that person's net income. If you set up a simulation from PolicyEngine's survey data, you can ask it for the impact of a policy on the distribution of income, but you can't ask "how does this reform affect this person's net income?". - -This page contains a list of all the questions you can ask the model, organised by folder structure. Under each one, we add the description, output type, and conditions under which you can ask that question. - -To reduce duplication, we've organised them into four categories, by the type of simulation you're running: - -* Single macro: simulations of a single policy on a large survey dataset. e.g. "What is the poverty rate?" -* Comparison macro: simulations of two policies (and the effect of comparing them) on a large survey dataset. e.g. "How much revenue would this policy raise?" -* Single household: simulations of a single policy on a single household. e.g. "What is my net income?" -* Comparison household: simulations of two policies (and the effect of comparing them) on a single household. e.g. "How much better off would I be under this policy?" - - -## Single macro - - - -### `macro/gov/balance/total_spending` - -The total spending of the government. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/balance/total_state_tax` - -The total tax revenue collected at the state level. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/balance/total_tax` - -The total tax revenue collected across all levels of government. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/budget_window/total_budget` - -The total government budget over the specified budget window. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/budget_window/total_federal_budget` - -The total federal government budget over the specified budget window. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/budget_window/total_spending` - -The total government spending over the specified budget window. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/budget_window/total_state_tax` - -The total state tax revenue over the specified budget window. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/budget_window/total_tax` - -The total tax revenue over the specified budget window. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/gov/programs/{program}` - -Total expenditure or revenue from a given program. Available programs in the UK are: child_benefit, council_tax, fuel_duty, income_tax, national_insurance, ni_employer, pension_credit, state_pension, tax_credits, universal_credit, vat. - -*Output type*: `float` - -*Conditions*: `country='uk'` - - - - -### `macro/household/demographics/total_households` - -Total number of households in the simulation. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/deep_poverty_gap` - -The aggregate gap between household incomes and the deep poverty line. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/deep_poverty_rate` - -The proportion of households in deep poverty. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/poverty_gap` - -The aggregate gap between household incomes and the poverty line. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/poverty_rate` - -The proportion of households in poverty. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/total_benefits` - -Total benefits received by all households. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/total_market_income` - -Total market income (before taxes and transfers) for all households. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/total_net_income` - -Total net income (after taxes and transfers) for all households. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/finance/total_tax` - -Total tax paid by all households. - -*Output type*: `float` - -*Conditions*: None - - - -### `macro/household/income_distribution/{lower_bound}` - -Total households with income above the lower bound. Request `household/income_distribution` for the full dictionary (this will be more helpful). - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/inequality/gini` - -Gini coefficient measuring income inequality (0 = perfect equality, 1 = perfect inequality). - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/inequality/top_10_percent_share` - -Share of total income held by the top 10% of households. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/household/inequality/top_1_percent_share` - -Share of total income held by the top 1% of households. - -*Output type*: `float` - -*Conditions*: None - -## Comparison macro - - - -### `macro/comparison/budget/general/baseline_net_income` - -Total household net income under the baseline policy. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/general/benefit_spending_impact` - -Change in total government benefit spending between reform and baseline. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/general/budgetary_impact` - -Overall budgetary impact of the reform (positive means the reform raises revenue). - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/general/households` - -Number of households affected by the reform. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/general/state_tax_revenue_impact` - -Change in state tax revenue between reform and baseline. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/general/tax_revenue_impact` - -Change in total tax revenue between reform and baseline. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/programs/{program}/baseline` - -Program spending/revenue under baseline policy, where program is one of: child_benefit, council_tax, fuel_duty, income_tax, national_insurance, ni_employer, pension_credit, state_pension, tax_credits, universal_credit, vat. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/programs/{program}/reform` - -Program spending/revenue under reform policy. See baseline endpoint for available programs. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/programs/{program}/difference` - -Change in program spending/revenue (reform - baseline). See baseline endpoint for available programs. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/window/federal_budget` - -Impact on federal budget over the budget window. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/budget/window/total_budget` - -Impact on total budget over the budget window. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/decile/income/average/{n}` - -Average change in household net income for income decile n (1-10). - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/decile/income/relative/{n}` - -Percentage change in household net income for income decile n (1-10). - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/decile/wealth/average/{n}` - -Average change in household net income for wealth decile n (1-10). - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/decile/wealth/relative/{n}` - -Percentage change in household net income for wealth decile n (1-10). - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/inequality/gini/baseline` - -See baseline endpoint for `household/inequality/gini`. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/inequality/gini/reform` - -Gini coefficient under reform policy. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/inequality/top_10_pct_share/baseline` - -See baseline endpoint for `household/inequality/top_10_percent_share`. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/inequality/top_10_pct_share/reform` - -Share of income held by top 10% under reform policy. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/inequality/top_1_pct_share/baseline` - -See baseline endpoint for `household/inequality/top_1_percent_share`. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/inequality/top_1_pct_share/reform` - -Share of income held by top 1% under reform policy. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/poverty/age/{poverty_type}/{group}/{metric}` - -Poverty metrics by age group, where: -- poverty_type is 'poverty' or 'deep_poverty' -- group is 'all', 'child', 'adult', or 'senior' -- metric is 'baseline', 'reform', or 'change_count' (only available for poverty) - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/poverty/gender/{poverty_type}/{gender}/{metric}` - -Poverty metrics by gender, where: -- poverty_type is 'poverty' or 'deep_poverty' -- gender is 'male' or 'female' -- metric is 'baseline' or 'reform' - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/winners/income_decile/all/{outcome}` - -Count of households experiencing each outcome across all income deciles, where outcome is: -'Gain more than 5%', 'Gain less than 5%', 'No change', 'Lose less than 5%', 'Lose more than 5%' - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/winners/income_decile/deciles/{outcome}` - -Count of households experiencing each outcome by income decile. See all endpoint for outcome options. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/winners/wealth_decile/all/{outcome}` - -Count of households experiencing each outcome across all wealth deciles. See income_decile/all endpoint for outcome options. - -*Output type*: `float` - -*Conditions*: None - - - - -### `macro/comparison/winners/wealth_decile/deciles/{outcome}` - -Count of households experiencing each outcome by wealth decile. See income_decile/all endpoint for outcome options. - -*Output type*: `float` - -*Conditions*: None - -## Single household - - - -### `household/net_income` - -Net income of the household after taxes and benefits. - -*Output type*: `float` - -*Conditions*: None - -## Comparison household - - - -### `household/baseline/net_income` - -Net income of the household under the baseline policy. - -*Output type*: `float` - -*Conditions*: None - - - -### `household/comparison/net_income_change` - -Change in net income of the household between reform and baseline. - -*Output type*: `float` - -*Conditions*: None - - - -### `household/reform/net_income` - -Net income of the household under the reform policy. - -*Output type*: `float` - -*Conditions*: None diff --git a/docs/reference/simulation.ipynb b/docs/reference/simulation.ipynb new file mode 100644 index 00000000..ee3c846a --- /dev/null +++ b/docs/reference/simulation.ipynb @@ -0,0 +1,74 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simulation\n", + "\n", + "The `Simulation` class is the core interface of this package. You can initialise it by passing in a dictionary that matches the `SimulationOptions` schema, and then use its `calculate` methods to ask it questions." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "EconomyComparison(fiscal=FiscalComparison(baseline=FiscalSummary(tax_revenue=658911285719.5891, federal_tax=658911285719.5891, state_tax=0.0, government_spending=349760026840.3932, tax_benefit_programs={'income_tax': 333376287037.05945, 'national_insurance': 52985626776.773834, 'ni_employer': 126330649370.35953, 'vat': 211671832822.39133, 'council_tax': 49007055050.00724, 'fuel_duty': 26506672341.204205, 'tax_credits': -34929879.49872104, 'universal_credit': -73459549194.97665, 'child_benefit': -14311471487.935827, 'state_pension': -132795868621.44594, 'pension_credit': -6252358021.417119}, household_net_income=1566030461192.7288), reform=FiscalSummary(tax_revenue=658911285719.5891, federal_tax=658911285719.5891, state_tax=0.0, government_spending=349760026840.3932, tax_benefit_programs={'income_tax': 333376287037.05945, 'national_insurance': 52985626776.773834, 'ni_employer': 126330649370.35953, 'vat': 211671832822.39133, 'council_tax': 49007055050.00724, 'fuel_duty': 26506672341.204205, 'tax_credits': -34929879.49872104, 'universal_credit': -73459549194.97665, 'child_benefit': -14311471487.935827, 'state_pension': -132795868621.44594, 'pension_credit': -6252358021.417119}, household_net_income=1566030461192.7288), change=FiscalSummary(tax_revenue=0.0, federal_tax=0.0, state_tax=0.0, government_spending=0.0, tax_benefit_programs={'income_tax': 0.0, 'national_insurance': 0.0, 'ni_employer': 0.0, 'vat': 0.0, 'council_tax': 0.0, 'fuel_duty': 0.0, 'tax_credits': 0.0, 'universal_credit': 0.0, 'child_benefit': 0.0, 'state_pension': 0.0, 'pension_credit': 0.0}, household_net_income=0.0)), inequality=InequalitySummary(gini=0.0, top_10_share=0.0, top_1_share=0.0))" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from policyengine import Simulation\n", + "\n", + "sim = Simulation({\n", + " \"country\": \"uk\",\n", + " \"scope\": \"macro\",\n", + " \"reform\": {},\n", + " \"time_period\": 2025,\n", + "})\n", + "\n", + "sim.calculate_economy_comparison()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Module documentation\n", + "\n", + "```{eval-rst}\n", + ".. automodule:: policyengine.simulation\n", + " :members:\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/reference/simulation.md b/docs/reference/simulation.md deleted file mode 100644 index 9b273839..00000000 --- a/docs/reference/simulation.md +++ /dev/null @@ -1,13 +0,0 @@ -# Simulation - -The `Simulation` class is the main interface under `policyengine`. It lets you define a simulation (either of a single policy or a factual-counterfactual pair) and run it. - -```{eval-rst} -.. autoclass:: policyengine.Simulation - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - :exclude-members: __init__ - :special-members: __init__ -``` \ No newline at end of file diff --git a/policyengine/__init__.py b/policyengine/__init__.py index 120af898..63a753be 100644 --- a/policyengine/__init__.py +++ b/policyengine/__init__.py @@ -1 +1 @@ -from .simulation import Simulation +from .simulation import Simulation, SimulationOptions diff --git a/policyengine/constants.py b/policyengine/constants.py index e8c2b4a5..651de219 100644 --- a/policyengine/constants.py +++ b/policyengine/constants.py @@ -4,17 +4,11 @@ ENHANCED_FRS = "hf://policyengine/policyengine-uk-data/enhanced_frs_2022_23.h5" FRS = "hf://policyengine/policyengine-uk-data/frs_2022_23.h5" - ENHANCED_CPS = "hf://policyengine/policyengine-us-data/enhanced_cps_2024.h5" CPS = "hf://policyengine/policyengine-us-data/cps_2023.h5" POOLED_CPS = "hf://policyengine/policyengine-us-data/pooled_3_year_cps_2023.h5" -DATASETS = { - "uk": {"frs": FRS, "enhanced_frs": ENHANCED_FRS}, - "us": {"cps": CPS, "enhanced_cps": ENHANCED_CPS, "pooled_cps": POOLED_CPS}, -} - -DEFAULT_DATASETS = { +DEFAULT_DATASETS_BY_COUNTRY = { "uk": ENHANCED_FRS, "us": CPS, } diff --git a/policyengine/outputs/household/comparison/axes/variation_chart.py b/policyengine/outputs/household/comparison/axes/variation_chart.py deleted file mode 100644 index ec9bb364..00000000 --- a/policyengine/outputs/household/comparison/axes/variation_chart.py +++ /dev/null @@ -1,96 +0,0 @@ -from policyengine import Simulation -import plotly.graph_objects as go -from policyengine.utils.charts import * - - -def variation_chart( - simulation: Simulation, - target_variable: str = None, - variable: str = "employment_income", - variable_min: float = 0, - variable_max: float = 200_000, - variable_count: int = 1001, - show_baseline: bool = False, -) -> go.Figure: - if target_variable is None: - return {} - - sim = Simulation( - country=simulation.country, - scope="household", - baseline=simulation.baseline.reform, - reform=simulation.reformed.reform, - time_period=simulation.time_period, - options=simulation.options, - data={ - **simulation.data, - "axes": [ - [ - { - "name": variable, - "min": variable_min, - "max": variable_max, - "count": variable_count, - "period": simulation.time_period, - } - ] - ], - }, - ) - - baseline_values = sim.baseline.calculate( - target_variable, map_to="household" - ) - reform_values = sim.reformed.calculate(target_variable, map_to="household") - axis_values = sim.baseline.calculate(variable, map_to="household") - - if show_baseline: - fig = go.Figure() - fig.add_trace( - go.Line( - x=axis_values, - y=baseline_values, - mode="lines", - name="Baseline", - line=dict(color=DARK_GRAY, dash="solid"), - ) - ) - fig.add_trace( - go.Line( - x=axis_values, - y=reform_values, - mode="lines", - name="Reform", - line=dict(color=BLUE, dash="dash"), - ) - ) - fig.update_layout( - title="Impact by " + variable, - xaxis_title=variable, - yaxis_title=target_variable, - xaxis_tickformat=",.0f", - yaxis_tickformat=",.0f", - showlegend=True, - ) - else: - fig = go.Figure( - data=[ - go.Line( - x=axis_values, - y=reform_values - baseline_values, - mode="lines", - name="Reform", - line=dict(color=BLUE, dash="solid"), - ) - ] - ) - fig.update_layout( - title="Impact by " + variable, - xaxis_title=variable, - yaxis_title=target_variable, - xaxis_tickformat=",.0f", - yaxis_tickformat=",.0f", - showlegend=False, - ) - - return format_fig(fig, simulation.country) diff --git a/policyengine/outputs/household/comparison/calculate_household_comparison.py b/policyengine/outputs/household/comparison/calculate_household_comparison.py new file mode 100644 index 00000000..adf81963 --- /dev/null +++ b/policyengine/outputs/household/comparison/calculate_household_comparison.py @@ -0,0 +1,43 @@ +"""Calculate comparison statistics between two economic scenarios.""" + +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation + +from pydantic import BaseModel +from policyengine.utils.calculations import get_change +from policyengine_core.simulations import Simulation as CountrySimulation +from typing import Literal, List + + +class HouseholdComparison(BaseModel): + household_net_income: float + """The net income of the household.""" + + +def calculate_net_income( + baseline: CountrySimulation, + reform: CountrySimulation, +) -> float: + return ( + reform.calculate("household_net_income").sum() + - baseline.calculate("household_net_income").sum() + ) + + +def calculate_household_comparison( + simulation: "Simulation", +) -> HouseholdComparison: + """Calculate comparison statistics between two household scenarios.""" + if not simulation.is_comparison: + raise ValueError("Simulation must be a comparison simulation.") + + baseline = simulation.baseline_simulation + reform = simulation.reform_simulation + + net_income = calculate_net_income(baseline, reform) + + return HouseholdComparison( + household_net_income=net_income, + ) diff --git a/policyengine/outputs/household/comparison/net_income_change.py b/policyengine/outputs/household/comparison/net_income_change.py deleted file mode 100644 index 47fb9e1b..00000000 --- a/policyengine/outputs/household/comparison/net_income_change.py +++ /dev/null @@ -1,4 +0,0 @@ -def net_income_change(simulation): - baseline_net_income = simulation.calculate("household/baseline/net_income") - reform_net_income = simulation.calculate("household/reform/net_income") - return reform_net_income - baseline_net_income diff --git a/policyengine/outputs/household/single/calculate_single_household.py b/policyengine/outputs/household/single/calculate_single_household.py new file mode 100644 index 00000000..26631794 --- /dev/null +++ b/policyengine/outputs/household/single/calculate_single_household.py @@ -0,0 +1,37 @@ +"""Calculate comparison statistics between two economic scenarios.""" + +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation + +from pydantic import BaseModel +from policyengine_core.simulations import Simulation as CountrySimulation +from typing import List + + +class SingleHousehold(BaseModel): + household_net_income: float + """The net income of the household.""" + + +def calculate_net_income( + simulation: CountrySimulation, +) -> float: + return simulation.calculate("household_net_income").sum() + + +def calculate_single_household( + simulation: "Simulation", +) -> SingleHousehold: + """Calculate household statistics for a single household scenario.""" + if simulation.is_comparison: + raise ValueError( + "This function is for single economy simulations only." + ) + + net_income = calculate_net_income(simulation.baseline_simulation) + + return SingleHousehold( + household_net_income=net_income, + ) diff --git a/policyengine/outputs/household/single/net_income.py b/policyengine/outputs/household/single/net_income.py deleted file mode 100644 index 01a97f07..00000000 --- a/policyengine/outputs/household/single/net_income.py +++ /dev/null @@ -1,2 +0,0 @@ -def net_income(simulation): - return simulation.selected_sim.calculate("household_net_income").sum() diff --git a/policyengine/outputs/macro/comparison/__init__.py b/policyengine/outputs/macro/comparison/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/policyengine/outputs/macro/comparison/budget/breakdown.py b/policyengine/outputs/macro/comparison/budget/breakdown.py deleted file mode 100644 index 6f463b74..00000000 --- a/policyengine/outputs/macro/comparison/budget/breakdown.py +++ /dev/null @@ -1,70 +0,0 @@ -from policyengine import Simulation -from typing import List -import pandas as pd - - -def breakdown( - simulation: Simulation, - provisions: List[dict] | None = None, - provision_names: List[str] | None = None, - count_years: int = 5, - verbose: bool = False, -) -> pd.DataFrame: - """Calculate the budgetary impact of the reform by provision. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - provisions (List[dict], optional): The provisions to include in the breakdown. Defaults to None. - provision_names (List[str], optional): The names of the provisions to include in the breakdown. Defaults to None. - count_years (int, optional): The number of years to include in the breakdown. Defaults to 5. - verbose (bool, optional): Whether to print the budgetary impacts. Defaults to False. - - Returns: - pd.DataFrame: A DataFrame (long) containing the budgetary impact of the reform by provision. - """ - if provision_names is None: - return {} - years = list( - range(simulation.time_period, simulation.time_period + count_years) - ) - baseline = simulation.baseline.reform - options = simulation.options - subreform_items = [] - year_items = [] - budget_items = [] - for year in years: - last_budgetary_impact = 0 - for i in range(len(provisions)): - reform_subset = provisions[: i + 1] - sim = Simulation( - country="uk", - scope="macro", - baseline=baseline, - reform=reform_subset, - time_period=year, - options=options, - data=simulation.data, - ) - budget = sim.calculate("macro/comparison/budget/general")[ - "budgetary_impact" - ] - key_focus = provision_names[i] - difference = budget - last_budgetary_impact - last_budgetary_impact = budget - - subreform_items.append(key_focus) - year_items.append(year) - budget_items.append(difference) - - if verbose: - print( - f"Year: {year}, Provision: {key_focus}, Budgetary impact: {round(difference/1e9)}" - ) - - return pd.DataFrame( - { - "Provision": subreform_items, - "Year": year_items, - "Budgetary impact": budget_items, - } - ) diff --git a/policyengine/outputs/macro/comparison/budget/general.py b/policyengine/outputs/macro/comparison/budget/general.py deleted file mode 100644 index c998661d..00000000 --- a/policyengine/outputs/macro/comparison/budget/general.py +++ /dev/null @@ -1,111 +0,0 @@ -from policyengine import Simulation -import plotly.graph_objects as go -import plotly.express as px -import pandas as pd -from policyengine.utils.charts import * - - -def general(simulation: Simulation, chart: bool = False): - """Calculate the budgetary impact of the given simulation. - - Args: - simulation (Simulation): The simulation for which the revenue impact is to be calculated. - - Returns: - dict: A dictionary containing the budgetary impact details with the following keys: - - budgetary_impact (float): The overall budgetary impact. - - tax_revenue_impact (float): The impact on tax revenue. - - state_tax_revenue_impact (float): The impact on state tax revenue. - - benefit_spending_impact (float): The impact on benefit spending. - - households (int): The number of households. - - baseline_net_income (float): The total net income in the baseline scenario. - """ - baseline = simulation.calculate("macro/baseline") - reform = simulation.calculate("macro/reform") - - tax_revenue_impact = ( - reform["gov"]["balance"]["total_tax"] - - baseline["gov"]["balance"]["total_tax"] - ) - state_tax_revenue_impact = ( - reform["gov"]["balance"]["total_state_tax"] - - baseline["gov"]["balance"]["total_state_tax"] - ) - benefit_spending_impact = ( - reform["gov"]["balance"]["total_spending"] - - baseline["gov"]["balance"]["total_spending"] - ) - budgetary_impact = tax_revenue_impact - benefit_spending_impact - households = baseline["household"]["demographics"]["total_households"] - baseline_net_income = baseline["household"]["finance"]["total_net_income"] - result = dict( - budgetary_impact=budgetary_impact, - tax_revenue_impact=tax_revenue_impact, - state_tax_revenue_impact=state_tax_revenue_impact, - benefit_spending_impact=benefit_spending_impact, - households=households, - baseline_net_income=baseline_net_income, - ) - if chart: - return budget_chart(simulation, result) - else: - return result - - -def budget_chart(simulation: Simulation, data: dict) -> go.Figure: - if simulation.country == "uk": - x = ["Tax revenues", "Benefit spending", "Budgetary impact"] - y = [ - data["tax_revenue_impact"], - -data["benefit_spending_impact"], - data["budgetary_impact"], - ] - else: - x = [ - "Federal tax revenues", - "State tax revenues", - "Benefit spending", - "Budgetary impact", - ] - y = [ - data["tax_revenue_impact"] - data["state_tax_revenue_impact"], - data["state_tax_revenue_impact"], - -data["benefit_spending_impact"], - data["budgetary_impact"], - ] - fig = go.Figure( - data=[ - go.Waterfall( - x=x, - y=[i / 1e9 for i in y], - orientation="v", - measure=["relative"] * (len(x) - 1) + ["total"], - text=[ - ( - "+" + str(round(val / 1e9, 1)) - if val > 0 - else str(round(val / 1e9, 1)) - ) - for val in y - ], - textposition="inside", - increasing={"marker": {"color": BLUE}}, - decreasing={"marker": {"color": DARK_GRAY}}, - totals={"marker": {"color": BLUE if y[-1] > 0 else DARK_GRAY}}, - connector={ - "line": {"color": DARK_GRAY, "width": 2, "dash": "dot"} - }, - ) - ] - ) - - fig.update_layout( - title="Budgetary impact by government revenue and spending", - xaxis_title="", - yaxis_title="Budgetary impact (£ billions)", - yaxis_tickformat=",.0f", - uniformtext_minsize=12, - uniformtext_mode="hide", - ) - - return format_fig(fig, simulation.country) diff --git a/policyengine/outputs/macro/comparison/budget/programs.py b/policyengine/outputs/macro/comparison/budget/programs.py deleted file mode 100644 index 7d1b9a23..00000000 --- a/policyengine/outputs/macro/comparison/budget/programs.py +++ /dev/null @@ -1,28 +0,0 @@ -from policyengine import Simulation - - -def programs(simulation: Simulation): - """Calculate the detailed budgetary impact of the given simulation. - - Args: - simulation (Simulation): The simulation for which the budgetary impact is to be calculated. - - Returns: - dict: A dictionary containing the detailed budgetary impact for each program with the following keys: - - baseline (float): The baseline budgetary impact of the program. - - reform (float): The reform budgetary impact of the program. - - difference (float): The difference between the reform and baseline budgetary impacts. - """ - baseline = simulation.calculate("macro/baseline") - reform = simulation.calculate("macro/reform") - result = {} - if simulation.country == "uk": - for program in baseline["gov"]["programs"]: - # baseline[programs][program] = total budgetary impact of program - result[program] = dict( - baseline=baseline["gov"]["programs"][program], - reform=reform["gov"]["programs"][program], - difference=reform["gov"]["programs"][program] - - baseline["gov"]["programs"][program], - ) - return result diff --git a/policyengine/outputs/macro/comparison/budget/window.py b/policyengine/outputs/macro/comparison/budget/window.py deleted file mode 100644 index 40dccfbb..00000000 --- a/policyengine/outputs/macro/comparison/budget/window.py +++ /dev/null @@ -1,68 +0,0 @@ -from policyengine import Simulation -import plotly.graph_objects as go -import plotly.express as px -import pandas as pd -from policyengine.utils.charts import * - - -def window( - simulation: Simulation, - chart: bool = False, - federal_only: bool = False, - count_years: int = 1, -): - if count_years == 1: - kwargs = {} - else: - kwargs = {"count_years": count_years} - baseline = simulation.calculate( - "macro/baseline/gov/budget_window", **kwargs - ) - reform = simulation.calculate("macro/reform/gov/budget_window", **kwargs) - total_budget_effect = [ - (y - x) - for x, y in zip(baseline["total_budget"], reform["total_budget"]) - ] - federal_budget_effect = [ - (y - x) - for x, y in zip( - baseline["total_federal_budget"], reform["total_federal_budget"] - ) - ] - - result = dict( - total_budget=total_budget_effect, - federal_budget=federal_budget_effect, - ) - - if chart: - return budget_window_chart( - result["federal_budget"] - if federal_only - else result["total_budget"] - ) - else: - return result - - -def budget_window_chart(budget_effect) -> go.Figure: - fig = go.Figure( - data=[ - go.Bar( - y=budget_effect, - x=list(map(str, range(2025, 2025 + 10))), - marker=dict( - color=[BLUE if y > 0 else DARK_GRAY for y in budget_effect] - ), - text=[ - f"{'+' if y >= 0 else ''}{y:.1f}" for y in budget_effect - ], - ) - ] - ).update_layout( - title="Budgetary impact by year", - xaxis_title="Year", - yaxis_title="Budgetary impact (£ billions)", - ) - - return format_fig(fig) diff --git a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py new file mode 100644 index 00000000..d2ddde59 --- /dev/null +++ b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py @@ -0,0 +1,153 @@ +"""Calculate comparison statistics between two economic scenarios.""" + +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation + +from pydantic import BaseModel +from policyengine.utils.calculations import get_change + +from policyengine.outputs.macro.single import ( + calculate_government_balance, + FiscalSummary, + calculate_inequality, + InequalitySummary, + calculate_poverty, +) + +from .decile import calculate_decile_impacts, DecileImpacts +from .labor_supply import ( + calculate_labor_supply_impact, + LaborSupplyMetricImpact, +) + +from typing import Literal, List + + +class FiscalComparison(BaseModel): + baseline: FiscalSummary + reform: FiscalSummary + change: FiscalSummary + relative_change: FiscalSummary + + +class InequalityComparison(BaseModel): + baseline: InequalitySummary + reform: InequalitySummary + change: InequalitySummary + relative_change: InequalitySummary + + +class PovertyRateMetricComparison(BaseModel): + age_group: Literal["child", "working_age", "senior", "all"] + """The age group of the population.""" + racial_group: Literal["white", "black", "hispanic", "other", "all"] + """The racial group of the population.""" + relative: bool + """Whether the poverty rate is relative to the total population, or a headcount.""" + poverty_rate: Literal[ + "uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half" + ] + """The poverty rate definition being calculated.""" + baseline: float + """The poverty rate value in the baseline scenario.""" + reform: float + """The poverty rate value in the reform scenario.""" + change: float + """The change in the poverty rate value.""" + relative_change: float + """The relative change in the poverty rate value.""" + + +class EconomyComparison(BaseModel): + fiscal: FiscalComparison + """Government budgets and other top-level fiscal statistics.""" + inequality: InequalityComparison + """Inequality statistics for the household sector.""" + distributional: DecileImpacts + """Distributional impacts of the reform.""" + poverty: List[PovertyRateMetricComparison] + """Poverty rates for different demographic groups and poverty definitions.""" + labor_supply: List[LaborSupplyMetricImpact] + """Labor supply impacts for different demographic groups and labor supply metrics.""" + + +def calculate_economy_comparison( + simulation: "Simulation", +) -> EconomyComparison: + """Calculate comparison statistics between two economic scenarios.""" + if not simulation.is_comparison: + raise ValueError("Simulation must be a comparison simulation.") + + baseline = simulation.baseline_simulation + reform = simulation.reform_simulation + options = simulation.options + + baseline_balance = calculate_government_balance(baseline, options) + reform_balance = calculate_government_balance(reform, options) + balance_change = get_change( + baseline_balance, reform_balance, relative=False + ) + balance_rel_change = get_change( + baseline_balance, reform_balance, relative=True + ) + fiscal_comparison = FiscalComparison( + baseline=baseline_balance, + reform=reform_balance, + change=balance_change, + relative_change=balance_rel_change, + ) + + baseline_inequality = calculate_inequality(baseline) + reform_inequality = calculate_inequality(reform) + inequality_change = get_change( + baseline_inequality, reform_inequality, relative=False + ) + inequality_rel_change = get_change( + baseline_inequality, reform_inequality, relative=True + ) + inequality_comparison = InequalityComparison( + baseline=baseline_inequality, + reform=reform_inequality, + change=inequality_change, + relative_change=inequality_rel_change, + ) + + decile_impacts = calculate_decile_impacts(baseline, reform, options) + + baseline_poverty_metrics = calculate_poverty(baseline, options) + reform_poverty_metrics = calculate_poverty(reform, options) + poverty_metrics = [] + for baseline_metric, reform_metric in zip( + baseline_poverty_metrics, reform_poverty_metrics + ): + change = reform_metric.value - baseline_metric.value + if baseline_metric.value == 0: + rel_change = 0 + else: + rel_change = change / baseline_metric.value + poverty_metrics.append( + PovertyRateMetricComparison( + age_group=baseline_metric.age_group, + racial_group=baseline_metric.racial_group, + relative=baseline_metric.relative, + poverty_rate=baseline_metric.poverty_rate, + baseline=baseline_metric.value, + reform=reform_metric.value, + change=change, + relative_change=rel_change, + ) + ) + + labor_supply_metrics = calculate_labor_supply_impact( + baseline, reform, options + ) + + return EconomyComparison( + fiscal=fiscal_comparison, + inequality=inequality_comparison, + distributional=decile_impacts, + poverty=poverty_metrics, + labor_supply=labor_supply_metrics, + ) diff --git a/policyengine/outputs/macro/comparison/decile.py b/policyengine/outputs/macro/comparison/decile.py new file mode 100644 index 00000000..61dc7381 --- /dev/null +++ b/policyengine/outputs/macro/comparison/decile.py @@ -0,0 +1,210 @@ +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation, SimulationOptions + +from policyengine_core.simulations import Microsimulation + +from pydantic import BaseModel +from typing import Dict +import numpy as np + + +class IncomeMeasureSpecificDecileIncomeChange(BaseModel): + relative: Dict[int, float] + """Relative impacts by income decile.""" + average: Dict[int, float] + """Average impacts by income decile.""" + + +class IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(BaseModel): + lose_more_than_5_percent_share: float + """Share of households losing more than 5% of net income.""" + lose_less_than_5_percent_share: float + """Share of households losing less than 5% of net income.""" + lose_share: float + """Share of households losing net income.""" + no_change_share: float + """Share of households with no change in net income.""" + gain_share: float + """Share of households gaining net income.""" + gain_less_than_5_percent_share: float + """Share of households gaining less than 5% of net income.""" + gain_more_than_5_percent_share: float + """Share of households gaining more than 5% of net income.""" + + +class IncomeMeasureSpecificDecileWinnersLosers(BaseModel): + deciles: Dict[int, IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes] + """Winners and losers by income decile.""" + all: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes + """Winners and losers for all households.""" + + +class IncomeMeasureSpecificDecileImpacts(BaseModel): + income_change: IncomeMeasureSpecificDecileIncomeChange + """Income change by income decile.""" + winners_and_losers: IncomeMeasureSpecificDecileWinnersLosers + """Winners and losers by income decile.""" + + +class DecileImpacts(BaseModel): + income: IncomeMeasureSpecificDecileImpacts + """Impacts by income decile.""" + wealth: IncomeMeasureSpecificDecileImpacts | None + """Impacts by wealth decile, if available.""" + + +def calculate_decile_impacts( + baseline: Microsimulation, + reform: Microsimulation, + options: "SimulationOptions", +) -> DecileImpacts: + """Calculate changes to households by income and wealth deciles.""" + income_impacts = calculate_income_specific_decile_impacts( + baseline, reform, by_wealth_decile=False + ) + if options.country == "uk": + wealth_impacts = calculate_income_specific_decile_impacts( + baseline, reform, by_wealth_decile=True + ) + else: + wealth_impacts = None + return DecileImpacts(income=income_impacts, wealth=wealth_impacts) + + +def calculate_income_specific_decile_impacts( + baseline: Microsimulation, + reform: Microsimulation, + by_wealth_decile: bool, +) -> IncomeMeasureSpecificDecileImpacts: + """Calculate changes to households by income and wealth deciles.""" + income_impacts = calculate_income_specific_decile_income_changes( + baseline, reform, by_wealth_decile + ) + winners_losers = calculate_income_specific_decile_winners_losers( + baseline, reform, by_wealth_decile + ) + return IncomeMeasureSpecificDecileImpacts( + income_change=income_impacts, winners_and_losers=winners_losers + ) + + +def calculate_income_specific_decile_winners_losers( + baseline: Microsimulation, + reform: Microsimulation, + by_wealth_decile: bool, +) -> dict: + """Calculate winners and losers by income and wealth deciles.""" + baseline_income = baseline.calculate("household_net_income") + reform_income = reform.calculate("household_net_income") + people_per_household = baseline.calculate("household_count_people") + if not by_wealth_decile: + decile = baseline.calculate("household_income_decile") + else: + wealth = baseline.calculate("total_wealth") + household_count_people = baseline.calculate("household_count_people") + wealth.weights *= household_count_people + decile = wealth.decile_rank().clip(1, 10).astype(int) + # Filter out negative decile values due to negative incomes + absolute_change = (reform_income - baseline_income).values + capped_baseline_income = np.maximum(baseline_income.values, 1) + capped_reform_income = ( + np.maximum(reform_income.values, 1) + absolute_change + ) + income_change = ( + capped_reform_income - capped_baseline_income + ) / capped_baseline_income + + # Within each decile, calculate the percentage of people who: + # 1. Gained more than 5% of their income + # 2. Gained between 0% and 5% of their income + # 3. Had no change in income + # 3. Lost between 0% and 5% of their income + # 4. Lost more than 5% of their income + + BOUNDS = [ + (-np.inf, -0.05), + (-0.05, 0), + (-np.inf, -1e-3), + (-1e-3, 1e-3), + (1e-3, np.inf), + (0, 0.05), + (0.05, np.inf), + ] + LABELS = [ + "lose_more_than_5_percent_share", + "lose_less_than_5_percent_share", + "lose_share", + "no_change_share", + "gain_share", + "gain_less_than_5_percent_share", + "gain_more_than_5_percent_share", + ] + + deciles = {} + all = {} + + for i in range(len(BOUNDS)): + lower, upper = BOUNDS[i] + label = LABELS[i] + + # First, add the 'all' group + + total_people = people_per_household.sum() + in_group = (income_change >= lower) & (income_change < upper) + people_in_group = people_per_household[in_group].sum() + share_in_group = people_in_group / total_people + all[label] = share_in_group + + # Next, add the decile-specific groups + + for d in range(1, 11): + in_group = (income_change[decile == d] >= lower) & ( + income_change[decile == d] < upper + ) + people_in_group = people_per_household[decile == d][in_group].sum() + people_in_decile = people_per_household[decile == d].sum() + share_in_group = people_in_group / people_in_decile + if d not in deciles: + deciles[d] = {} + deciles[d][label] = share_in_group + + return IncomeMeasureSpecificDecileWinnersLosers(deciles=deciles, all=all) + + +def calculate_income_specific_decile_income_changes( + baseline: Microsimulation, + reform: Microsimulation, + by_wealth_decile: bool, +) -> dict: + """Calculate changes to households by income and wealth deciles.""" + baseline_income = baseline.calculate("household_net_income") + reform_income = reform.calculate("household_net_income") + if not by_wealth_decile: + decile = baseline.calculate("household_income_decile") + else: + wealth = baseline.calculate("total_wealth") + household_count_people = baseline.calculate("household_count_people") + wealth.weights *= household_count_people + decile = wealth.decile_rank().clip(1, 10).astype(int) + # Filter out negative decile values due to negative incomes + baseline_income_filtered = baseline_income[decile >= 0] + reform_income_filtered = reform_income[decile >= 0] + + income_change = reform_income_filtered - baseline_income_filtered + rel_income_change_by_decile = ( + income_change.groupby(decile).sum() + / baseline_income_filtered.groupby(decile).sum() + ) + avg_income_change_by_decile = ( + income_change.groupby(decile).sum() + / baseline_income_filtered.groupby(decile).count() + ) + rel_decile_dict = rel_income_change_by_decile.to_dict() + avg_decile_dict = avg_income_change_by_decile.to_dict() + per_decile_changes = dict( + relative={int(k): v for k, v in rel_decile_dict.items()}, + average={int(k): v for k, v in avg_decile_dict.items()}, + ) + return IncomeMeasureSpecificDecileIncomeChange(**per_decile_changes) diff --git a/policyengine/outputs/macro/comparison/decile/income.py b/policyengine/outputs/macro/comparison/decile/income.py deleted file mode 100644 index d4476a1b..00000000 --- a/policyengine/outputs/macro/comparison/decile/income.py +++ /dev/null @@ -1,63 +0,0 @@ -from policyengine import Simulation -from microdf import MicroSeries - - -def income(simulation: Simulation): - """Calculate the impact of the reform on income deciles. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the impact details with the following keys: - - relative (dict): A dictionary with keys representing deciles and values as relative income changes. - - average (dict): A dictionary with keys representing deciles and values as average income changes. - """ - baseline = simulation.calculate("macro/baseline") - reform = simulation.calculate("macro/reform") - baseline["household"]["finance"] = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - baseline["household"]["demographics"] = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) - reform["household"]["finance"] = simulation.calculate( - "macro/reform/household/finance", include_arrays=True - ) - reform["household"]["demographics"] = simulation.calculate( - "macro/reform/household/demographics", include_arrays=True - ) - - baseline_income = MicroSeries( - baseline["household"]["finance"]["household_net_income"], - weights=baseline["household"]["demographics"]["household_weight"], - ) - reform_income = MicroSeries( - reform["household"]["finance"]["household_net_income"], - weights=baseline_income.weights, - ) - - # Filter out negative decile values - decile = MicroSeries( - baseline["household"]["finance"]["household_income_decile"] - ) - baseline_income_filtered = baseline_income[decile >= 0] - reform_income_filtered = reform_income[decile >= 0] - - income_change = reform_income_filtered - baseline_income_filtered - rel_income_change_by_decile = ( - income_change.groupby(decile).sum() - / baseline_income_filtered.groupby(decile).sum() - ) - - avg_income_change_by_decile = ( - income_change.groupby(decile).sum() - / baseline_income_filtered.groupby(decile).count() - ) - rel_decile_dict = rel_income_change_by_decile.to_dict() - avg_decile_dict = avg_income_change_by_decile.to_dict() - result = dict( - relative={int(k): v for k, v in rel_decile_dict.items()}, - average={int(k): v for k, v in avg_decile_dict.items()}, - ) - return result diff --git a/policyengine/outputs/macro/comparison/decile/wealth.py b/policyengine/outputs/macro/comparison/decile/wealth.py deleted file mode 100644 index b65153cb..00000000 --- a/policyengine/outputs/macro/comparison/decile/wealth.py +++ /dev/null @@ -1,64 +0,0 @@ -from policyengine import Simulation -from microdf import MicroSeries - - -def wealth(simulation: Simulation): - """Calculate the impact of the reform on wealth deciles. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the impact details with the following keys: - - relative (dict): A dictionary with keys representing deciles and values as relative income changes. - - average (dict): A dictionary with keys representing deciles and values as average income changes. - """ - if simulation.country != "uk": - return {} - - baseline = simulation.calculate("macro/baseline") - reform = simulation.calculate("macro/reform") - baseline["household"]["finance"] = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - baseline["household"]["demographics"] = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) - reform["household"]["finance"] = simulation.calculate( - "macro/reform/household/finance", include_arrays=True - ) - reform["household"]["demographics"] = simulation.calculate( - "macro/reform/household/demographics", include_arrays=True - ) - - baseline_income = MicroSeries( - baseline["household"]["finance"]["household_net_income"], - weights=baseline["household"]["demographics"]["household_weight"], - ) - reform_income = MicroSeries( - reform["household"]["finance"]["household_net_income"], - weights=baseline_income.weights, - ) - - # Filter out negative decile values - decile = MicroSeries(baseline["household"]["finance"]["wealth_decile"]) - baseline_income_filtered = baseline_income[decile >= 0] - reform_income_filtered = reform_income[decile >= 0] - - income_change = reform_income_filtered - baseline_income_filtered - rel_income_change_by_decile = ( - income_change.groupby(decile).sum() - / baseline_income_filtered.groupby(decile).sum() - ) - - avg_income_change_by_decile = ( - income_change.groupby(decile).sum() - / baseline_income_filtered.groupby(decile).count() - ) - rel_decile_dict = rel_income_change_by_decile.to_dict() - avg_decile_dict = avg_income_change_by_decile.to_dict() - result = dict( - relative={int(k): v for k, v in rel_decile_dict.items()}, - average={int(k): v for k, v in avg_decile_dict.items()}, - ) - return result diff --git a/policyengine/outputs/macro/comparison/inequality.py b/policyengine/outputs/macro/comparison/inequality.py deleted file mode 100644 index 6e624246..00000000 --- a/policyengine/outputs/macro/comparison/inequality.py +++ /dev/null @@ -1,32 +0,0 @@ -from policyengine import Simulation - - -def inequality(simulation: Simulation): - """Calculate the impact of the reform on inequality. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the inequality impact details with the following keys: - - gini (dict): A dictionary with baseline and reform Gini coefficients. - - top_10_pct_share (dict): A dictionary with baseline and reform top 10% income share. - - top_1_pct_share (dict): A dictionary with baseline and reform top 1% income share. - """ - baseline = simulation.calculate("macro/baseline/household/inequality") - reform = simulation.calculate("macro/reform/household/inequality") - - return dict( - gini=dict( - baseline=baseline["gini"], - reform=reform["gini"], - ), - top_10_pct_share=dict( - baseline=baseline["top_10_percent_share"], - reform=reform["top_10_percent_share"], - ), - top_1_pct_share=dict( - baseline=baseline["top_1_percent_share"], - reform=reform["top_1_percent_share"], - ), - ) diff --git a/policyengine/outputs/macro/comparison/labor_supply.py b/policyengine/outputs/macro/comparison/labor_supply.py index 587c3af2..6f1b8126 100644 --- a/policyengine/outputs/macro/comparison/labor_supply.py +++ b/policyengine/outputs/macro/comparison/labor_supply.py @@ -1,129 +1,119 @@ -from policyengine import Simulation -from microdf import MicroSeries +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation, SimulationOptions + +from policyengine_core.simulations import Microsimulation + +from pydantic import BaseModel +from typing import Literal, List import numpy as np -def labor_supply(simulation: Simulation) -> dict: - baseline_labor_supply = simulation.calculate( - "macro/baseline/household/labor_supply", include_arrays=True - ) - reform_labor_supply = simulation.calculate( - "macro/reform/household/labor_supply", include_arrays=True - ) - baseline_finance = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - baseline_demographics = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) +class LaborSupplyMetricImpact(BaseModel): + elasticity: Literal["income", "substitution", "all"] + """Filter to the effects of a specific elasticity.""" + decile: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "all"] + """The income decile of the household, if filtering.""" + unit: Literal["earnings", "hours"] + """The unit of the labor supply metric.""" + baseline: float + """The labor supply metric value in the baseline scenario.""" + reform: float + """The labor supply metric value in the reform scenario.""" + change: float + """The change in the labor supply metric value.""" + relative_change: float + """The relative change in the labor supply metric value.""" - substitution_lsr = ( - reform_labor_supply["substitution_lsr"] - - baseline_labor_supply["substitution_lsr"] - ) - income_lsr = ( - reform_labor_supply["income_lsr"] - baseline_labor_supply["income_lsr"] - ) - total_change = substitution_lsr + income_lsr - substitution_lsr_hh = np.array( - reform_labor_supply["substitution_lsr_hh"] - ) - np.array(baseline_labor_supply["substitution_lsr_hh"]) - income_lsr_hh = np.array(reform_labor_supply["income_lsr_hh"]) - np.array( - baseline_labor_supply["income_lsr_hh"] - ) - decile = np.array(baseline_finance["household_income_decile"]) - household_weight = baseline_demographics["household_weight"] +def calculate_labor_supply_impact( + baseline: Microsimulation, + reformed: Microsimulation, + options: "SimulationOptions", +) -> List[LaborSupplyMetricImpact]: + """Calculate labor supply impact statistics for a set of households.""" + if not _has_behavioral_response(reformed): + return [] - total_lsr_hh = substitution_lsr_hh + income_lsr_hh + lsr_metrics = [] + for elasticity in ["income", "substitution", "all"]: + for decile in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "all"]: + for unit in ["earnings", "hours"]: + if options.country != "us" and unit == "hours": + # Hours not yet supported for the UK. + continue + lsr_metrics.append( + calculate_specific_lsr_metric( + baseline, + reformed, + elasticity, + decile, + unit, + ) + ) - emp_income = MicroSeries( - baseline_finance["employment_income_hh"], - weights=household_weight, - ) - self_emp_income = MicroSeries( - baseline_finance["self_employment_income_hh"], - weights=household_weight, - ) - earnings = emp_income + self_emp_income - original_earnings = earnings - total_lsr_hh - substitution_lsr_hh = MicroSeries( - substitution_lsr_hh, weights=household_weight - ) - income_lsr_hh = MicroSeries(income_lsr_hh, weights=household_weight) - decile_avg = dict( - income=income_lsr_hh.groupby(decile).mean().to_dict(), - substitution=substitution_lsr_hh.groupby(decile).mean().to_dict(), - ) - decile_rel = dict( - income=( - income_lsr_hh.groupby(decile).sum() - / original_earnings.groupby(decile).sum() - ).to_dict(), - substitution=( - substitution_lsr_hh.groupby(decile).sum() - / original_earnings.groupby(decile).sum() - ).to_dict(), - ) +def calculate_specific_lsr_metric( + baseline: Microsimulation, + reformed: Microsimulation, + elasticity: Literal["income", "substitution", "all"], + decile: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "all"], + unit: Literal["earnings", "hours"], +) -> LaborSupplyMetricImpact: + """Calculate a specific labor supply metric for a set of households.""" - relative_lsr = dict( - income=(income_lsr_hh.sum() / original_earnings.sum()), - substitution=(substitution_lsr_hh.sum() / original_earnings.sum()), - ) + if unit == "earnings": + baseline_variable = "employment_income" + if elasticity == "income": + variable = "income_elasticity_lsr" + elif elasticity == "substitution": + variable = "substitution_elasticity_lsr" + else: + variable = "employment_income_behavioral_response" + else: + baseline_variable = "weekly_hours_worked" + if elasticity == "income": + variable = ( + "weekly_hours_worked_behavioural_response_income_elasticity" + ) + elif elasticity == "substitution": + variable = "weekly_hours_worked_behavioural_response_substitution_elasticity" + else: + variable = "weekly_hours_worked" - decile_rel["income"] = { - int(k): v for k, v in decile_rel["income"].items() if k > 0 - } - decile_rel["substitution"] = { - int(k): v for k, v in decile_rel["substitution"].items() if k > 0 - } - - hours = dict( - baseline=baseline_labor_supply["weekly_hours"], - reform=reform_labor_supply["weekly_hours"], - change=reform_labor_supply["weekly_hours"] - - baseline_labor_supply["weekly_hours"], - income_effect=reform_labor_supply["weekly_hours_income_effect"] - - baseline_labor_supply["weekly_hours_income_effect"], - substitution_effect=reform_labor_supply[ - "weekly_hours_substitution_effect" - ] - - baseline_labor_supply["weekly_hours_substitution_effect"], + baseline_values = baseline.calculate(baseline_variable) + reform_values = reformed.calculate(baseline_variable) + reformed.calculate( + variable ) - rel_labor_supply_change = ( - total_change / baseline_labor_supply["total_earnings"] - ) - ftes_baseline = baseline_labor_supply["total_workers"] - ftes_reform = baseline_labor_supply["total_workers"] * ( - 1 + rel_labor_supply_change - ) - earnings_change = ( - reform_labor_supply["total_earnings"] - - baseline_labor_supply["total_earnings"] + if decile == "all": + in_decile = np.ones_like(baseline_values, dtype=bool) + else: + in_decile = reformed.calculate("household_income_decile") == decile + + baseline_total = (baseline_values * in_decile).sum() + reform_total = (reform_values * in_decile).sum() + change = reform_total - baseline_total + relative_change = change / baseline_total + + return LaborSupplyMetricImpact( + elasticity=elasticity, + decile=decile, + unit=unit, + baseline=baseline_total, + reform=reform_total, + change=change, + relative_change=relative_change, ) - return dict( - earnings=dict( - baseline=baseline_labor_supply["total_earnings"], - reform=reform_labor_supply["total_earnings"], - change=earnings_change, - rel_change=earnings_change - / baseline_labor_supply["total_earnings"], - ), - fte=dict( - baseline=ftes_baseline, - reform=ftes_reform, - change=ftes_reform - ftes_baseline, - rel_change=ftes_reform / ftes_baseline - 1, - ), - substitution_lsr=substitution_lsr, - income_lsr=income_lsr, - relative_lsr=relative_lsr, - decile=dict( - average=decile_avg, - relative=decile_rel, - ), - hours=hours, + +def _has_behavioral_response(simulation: Microsimulation) -> bool: + """Check if the simulation has a behavioral response to labor supply.""" + return ( + "employment_income_behavioral_response" + in simulation.tax_benefit_system.variables + and any( + simulation.calculate("employment_income_behavioral_response") != 0 + ) ) diff --git a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py b/policyengine/outputs/macro/comparison/local_areas/local_authorities.py deleted file mode 100644 index 8834ad26..00000000 --- a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py +++ /dev/null @@ -1,46 +0,0 @@ -from policyengine import Simulation -import pandas as pd -from policyengine.utils.huggingface import download -import plotly.express as px -from policyengine.utils.charts import * -from policyengine.utils.maps import plot_hex_map -from typing import Callable -from policyengine_core import Microsimulation -from microdf import MicroSeries - - -def local_authorities( - simulation: Simulation, - chart: bool = False, - metric: Callable[[Microsimulation], MicroSeries] = None, - comparator: bool = None, -) -> dict: - if not simulation.options.get("include_local_authorities"): - return {} - - kwargs = {} - if metric is not None: - kwargs["metric"] = metric - - if comparator is None: - comparator = lambda x, y: (y / x) - 1 - - constituency_baseline = simulation.calculate( - "macro/baseline/gov/local_areas/local_authorities", **kwargs - ) - constituency_reform = simulation.calculate( - "macro/reform/gov/local_areas/local_authorities", **kwargs - ) - - result = {} - - for constituency in constituency_baseline: - result[constituency] = comparator( - constituency_baseline[constituency], - constituency_reform[constituency], - ) - - if chart: - return plot_hex_map(result, "local_authorities") - - return result diff --git a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py deleted file mode 100644 index 6a352860..00000000 --- a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py +++ /dev/null @@ -1,46 +0,0 @@ -from policyengine import Simulation -import pandas as pd -from policyengine.utils.huggingface import download -import plotly.express as px -from policyengine.utils.charts import * -from policyengine.utils.maps import plot_hex_map -from typing import Callable -from policyengine_core import Microsimulation -from microdf import MicroSeries - - -def parliamentary_constituencies( - simulation: Simulation, - chart: bool = False, - metric: Callable[[Microsimulation], MicroSeries] = None, - comparator: bool = None, -) -> dict: - if not simulation.options.get("include_constituencies"): - return {} - - kwargs = {} - if metric is not None: - kwargs["metric"] = metric - - if comparator is None: - comparator = lambda x, y: (y / x) - 1 - - constituency_baseline = simulation.calculate( - "macro/baseline/gov/local_areas/parliamentary_constituencies", **kwargs - ) - constituency_reform = simulation.calculate( - "macro/reform/gov/local_areas/parliamentary_constituencies", **kwargs - ) - - result = {} - - for constituency in constituency_baseline: - result[constituency] = comparator( - constituency_baseline[constituency], - constituency_reform[constituency], - ) - - if chart: - return plot_hex_map(result, "parliamentary_constituencies") - - return result diff --git a/policyengine/outputs/macro/comparison/poverty/age.py b/policyengine/outputs/macro/comparison/poverty/age.py deleted file mode 100644 index 262067a2..00000000 --- a/policyengine/outputs/macro/comparison/poverty/age.py +++ /dev/null @@ -1,105 +0,0 @@ -from policyengine import Simulation -from microdf import MicroSeries - - -def age(simulation: Simulation): - """Calculate the impact of the reform on poverty by age. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the poverty and deep poverty impact details with the following keys: - - poverty (dict): A dictionary with keys representing age groups and values as dictionaries with baseline and reform poverty rates. - - deep_poverty (dict): A dictionary with keys representing age groups and values as dictionaries with baseline and reform deep poverty rates. - """ - baseline = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - reform = simulation.calculate( - "macro/reform/household/finance", include_arrays=True - ) - baseline_demographics = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) - - baseline_poverty = MicroSeries( - baseline["person_in_poverty"], - weights=baseline_demographics["person_weight"], - ) - baseline_deep_poverty = MicroSeries( - baseline["person_in_deep_poverty"], - weights=baseline_demographics["person_weight"], - ) - reform_poverty = MicroSeries( - reform["person_in_poverty"], weights=baseline_poverty.weights - ) - reform_deep_poverty = MicroSeries( - reform["person_in_deep_poverty"], weights=baseline_poverty.weights - ) - age = MicroSeries(baseline_demographics["age"]) - - poverty = dict( - child=dict( - baseline=float(baseline_poverty[age < 18].mean()), - reform=float(reform_poverty[age < 18].mean()), - change_count=float( - ( - reform_poverty[age < 18].sum() - baseline_poverty[age < 18] - ).sum() - ), - ), - adult=dict( - baseline=float(baseline_poverty[(age >= 18) & (age < 65)].mean()), - reform=float(reform_poverty[(age >= 18) & (age < 65)].mean()), - change_count=float( - ( - reform_poverty[(age >= 18) & (age < 65)].sum() - - baseline_poverty[(age >= 18) & (age < 65)].sum() - ) - ), - ), - senior=dict( - baseline=float(baseline_poverty[age >= 65].mean()), - reform=float(reform_poverty[age >= 65].mean()), - change_count=float( - ( - reform_poverty[age >= 65].sum() - - baseline_poverty[age >= 65].sum() - ) - ), - ), - all=dict( - baseline=float(baseline_poverty.mean()), - reform=float(reform_poverty.mean()), - change_count=float( - (reform_poverty.sum() - baseline_poverty.sum()) - ), - ), - ) - - deep_poverty = dict( - child=dict( - baseline=float(baseline_deep_poverty[age < 18].mean()), - reform=float(reform_deep_poverty[age < 18].mean()), - ), - adult=dict( - baseline=float( - baseline_deep_poverty[(age >= 18) & (age < 65)].mean(), - ), - reform=float(reform_deep_poverty[(age >= 18) & (age < 65)].mean()), - ), - senior=dict( - baseline=float(baseline_deep_poverty[age >= 65].mean()), - reform=float(reform_deep_poverty[age >= 65].mean()), - ), - all=dict( - baseline=float(baseline_deep_poverty.mean()), - reform=float(reform_deep_poverty.mean()), - ), - ) - - return dict( - poverty=poverty, - deep_poverty=deep_poverty, - ) diff --git a/policyengine/outputs/macro/comparison/poverty/gender.py b/policyengine/outputs/macro/comparison/poverty/gender.py deleted file mode 100644 index 482d4302..00000000 --- a/policyengine/outputs/macro/comparison/poverty/gender.py +++ /dev/null @@ -1,69 +0,0 @@ -from policyengine import Simulation -from microdf import MicroSeries - - -def gender(simulation: Simulation): - """Calculate the impact of the reform on poverty by gender. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the poverty and deep poverty impact details with the following keys: - - poverty (dict): A dictionary with keys representing genders and values as dictionaries with baseline and reform poverty rates. - - deep_poverty (dict): A dictionary with keys representing genders and values as dictionaries with baseline and reform deep poverty rates. - """ - baseline = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - reform = simulation.calculate( - "macro/reform/household/finance", include_arrays=True - ) - baseline_demographics = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) - - if baseline_demographics["is_male"] is None: - return {} - baseline_poverty = MicroSeries( - baseline["person_in_poverty"], - weights=baseline_demographics["person_weight"], - ) - baseline_deep_poverty = MicroSeries( - baseline["person_in_deep_poverty"], - weights=baseline_demographics["person_weight"], - ) - reform_poverty = MicroSeries( - reform["person_in_poverty"], weights=baseline_poverty.weights - ) - reform_deep_poverty = MicroSeries( - reform["person_in_deep_poverty"], weights=baseline_poverty.weights - ) - is_male = MicroSeries(baseline_demographics["is_male"]) - - poverty = dict( - male=dict( - baseline=float(baseline_poverty[is_male].mean()), - reform=float(reform_poverty[is_male].mean()), - ), - female=dict( - baseline=float(baseline_poverty[~is_male].mean()), - reform=float(reform_poverty[~is_male].mean()), - ), - ) - - deep_poverty = dict( - male=dict( - baseline=float(baseline_deep_poverty[is_male].mean()), - reform=float(reform_deep_poverty[is_male].mean()), - ), - female=dict( - baseline=float(baseline_deep_poverty[~is_male].mean()), - reform=float(reform_deep_poverty[~is_male].mean()), - ), - ) - - return dict( - poverty=poverty, - deep_poverty=deep_poverty, - ) diff --git a/policyengine/outputs/macro/comparison/poverty/race.py b/policyengine/outputs/macro/comparison/poverty/race.py deleted file mode 100644 index bf897fc5..00000000 --- a/policyengine/outputs/macro/comparison/poverty/race.py +++ /dev/null @@ -1,59 +0,0 @@ -from policyengine import Simulation -from microdf import MicroSeries - - -def race(simulation: Simulation): - """Calculate the impact of the reform on poverty by race. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the poverty impact details with the following keys: - - poverty (dict): A dictionary with keys representing races and values as dictionaries with baseline and reform poverty rates. - """ - baseline = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - reform = simulation.calculate( - "macro/reform/household/finance", include_arrays=True - ) - baseline_demographics = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) - - if baseline_demographics["race"] is None: - return {} - baseline_poverty = MicroSeries( - baseline["person_in_poverty"], - weights=baseline_demographics["person_weight"], - ) - reform_poverty = MicroSeries( - reform["person_in_poverty"], weights=baseline_poverty.weights - ) - race = MicroSeries( - baseline_demographics["race"] - ) # Can be WHITE, BLACK, HISPANIC, or OTHER. - - poverty = dict( - white=dict( - baseline=float(baseline_poverty[race == "WHITE"].mean()), - reform=float(reform_poverty[race == "WHITE"].mean()), - ), - black=dict( - baseline=float(baseline_poverty[race == "BLACK"].mean()), - reform=float(reform_poverty[race == "BLACK"].mean()), - ), - hispanic=dict( - baseline=float(baseline_poverty[race == "HISPANIC"].mean()), - reform=float(reform_poverty[race == "HISPANIC"].mean()), - ), - other=dict( - baseline=float(baseline_poverty[race == "OTHER"].mean()), - reform=float(reform_poverty[race == "OTHER"].mean()), - ), - ) - - return dict( - poverty=poverty, - ) diff --git a/policyengine/outputs/macro/comparison/winners/income_decile.py b/policyengine/outputs/macro/comparison/winners/income_decile.py deleted file mode 100644 index 8de5bc3d..00000000 --- a/policyengine/outputs/macro/comparison/winners/income_decile.py +++ /dev/null @@ -1,83 +0,0 @@ -from policyengine import Simulation -from microdf import MicroSeries -import numpy as np - - -def income_decile(simulation: Simulation): - """Calculate the impact of the reform on income deciles. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the impact details with the following keys: - - deciles (dict): A dictionary with keys representing outcome labels and values as lists of percentages for each decile. - - all (dict): A dictionary with keys representing outcome labels and values as overall percentages. - """ - baseline = simulation.calculate("macro/baseline") - reform = simulation.calculate("macro/reform") - baseline["household"]["finance"] = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - baseline["household"]["demographics"] = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) - reform["household"]["finance"] = simulation.calculate( - "macro/reform/household/finance", include_arrays=True - ) - reform["household"]["demographics"] = simulation.calculate( - "macro/reform/household/demographics", include_arrays=True - ) - - baseline_income = MicroSeries( - baseline["household"]["finance"]["household_net_income"], - weights=baseline["household"]["demographics"]["household_weight"], - ) - reform_income = MicroSeries( - reform["household"]["finance"]["household_net_income"], - weights=baseline_income.weights, - ) - people = MicroSeries( - baseline["household"]["demographics"]["household_count_people"], - weights=baseline_income.weights, - ) - decile = MicroSeries( - baseline["household"]["finance"]["household_income_decile"] - ).values - absolute_change = (reform_income - baseline_income).values - capped_baseline_income = np.maximum(baseline_income.values, 1) - capped_reform_income = ( - np.maximum(reform_income.values, 1) + absolute_change - ) - income_change = ( - capped_reform_income - capped_baseline_income - ) / capped_baseline_income - - # Within each decile, calculate the percentage of people who: - # 1. Gained more than 5% of their income - # 2. Gained between 0% and 5% of their income - # 3. Had no change in income - # 3. Lost between 0% and 5% of their income - # 4. Lost more than 5% of their income - - outcome_groups = {} - all_outcomes = {} - BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf] - LABELS = [ - "Lose more than 5%", - "Lose less than 5%", - "No change", - "Gain less than 5%", - "Gain more than 5%", - ] - for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS): - outcome_groups[label] = [] - for i in range(1, 11): - in_decile = decile == i - in_group = (income_change > lower) & (income_change <= upper) - in_both = in_decile & in_group - outcome_groups[label].append( - float(people[in_both].sum() / people[in_decile].sum()) - ) - all_outcomes[label] = sum(outcome_groups[label]) / 10 - return dict(deciles=outcome_groups, all=all_outcomes) diff --git a/policyengine/outputs/macro/comparison/winners/wealth_decile.py b/policyengine/outputs/macro/comparison/winners/wealth_decile.py deleted file mode 100644 index 0eafed0f..00000000 --- a/policyengine/outputs/macro/comparison/winners/wealth_decile.py +++ /dev/null @@ -1,85 +0,0 @@ -from policyengine import Simulation -from microdf import MicroSeries -import numpy as np - - -def wealth_decile(simulation: Simulation): - """Calculate the impact of the reform on wealth deciles. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - - Returns: - dict: A dictionary containing the impact details with the following keys: - - deciles (dict): A dictionary with keys representing outcome labels and values as lists of percentages for each decile. - - all (dict): A dictionary with keys representing outcome labels and values as overall percentages. - """ - if simulation.country == "us": - return {} - baseline = simulation.calculate("macro/baseline") - reform = simulation.calculate("macro/reform") - baseline["household"]["finance"] = simulation.calculate( - "macro/baseline/household/finance", include_arrays=True - ) - baseline["household"]["demographics"] = simulation.calculate( - "macro/baseline/household/demographics", include_arrays=True - ) - reform["household"]["finance"] = simulation.calculate( - "macro/reform/household/finance", include_arrays=True - ) - reform["household"]["demographics"] = simulation.calculate( - "macro/reform/household/demographics", include_arrays=True - ) - - baseline_income = MicroSeries( - baseline["household"]["finance"]["household_net_income"], - weights=baseline["household"]["demographics"]["household_weight"], - ) - reform_income = MicroSeries( - reform["household"]["finance"]["household_net_income"], - weights=baseline_income.weights, - ) - people = MicroSeries( - baseline["household"]["demographics"]["household_count_people"], - weights=baseline_income.weights, - ) - decile = MicroSeries( - baseline["household"]["finance"]["wealth_decile"] - ).values - absolute_change = (reform_income - baseline_income).values - capped_baseline_income = np.maximum(baseline_income.values, 1) - capped_reform_income = ( - np.maximum(reform_income.values, 1) + absolute_change - ) - income_change = ( - capped_reform_income - capped_baseline_income - ) / capped_baseline_income - - # Within each decile, calculate the percentage of people who: - # 1. Gained more than 5% of their income - # 2. Gained between 0% and 5% of their income - # 3. Had no change in income - # 3. Lost between 0% and 5% of their income - # 4. Lost more than 5% of their income - - outcome_groups = {} - all_outcomes = {} - BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf] - LABELS = [ - "Lose more than 5%", - "Lose less than 5%", - "No change", - "Gain less than 5%", - "Gain more than 5%", - ] - for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS): - outcome_groups[label] = [] - for i in range(1, 11): - in_decile = decile == i - in_group = (income_change > lower) & (income_change <= upper) - in_both = in_decile & in_group - outcome_groups[label].append( - float(people[in_both].sum() / people[in_decile].sum()) - ) - all_outcomes[label] = sum(outcome_groups[label]) / 10 - return dict(deciles=outcome_groups, all=all_outcomes) diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py new file mode 100644 index 00000000..50b6e74a --- /dev/null +++ b/policyengine/outputs/macro/single/__init__.py @@ -0,0 +1,3 @@ +from .budget import calculate_government_balance, FiscalSummary +from .inequality import calculate_inequality, InequalitySummary +from .poverty import calculate_poverty, PovertyRateMetric diff --git a/policyengine/outputs/macro/single/budget.py b/policyengine/outputs/macro/single/budget.py new file mode 100644 index 00000000..c349c364 --- /dev/null +++ b/policyengine/outputs/macro/single/budget.py @@ -0,0 +1,80 @@ +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation, SimulationOptions + +from policyengine_core.simulations import Microsimulation + +from pydantic import BaseModel + + +class TaxBenefitProgram(BaseModel): + name: str + """The name of the tax-benefit program.""" + is_positive: bool + """Whether the program is positive on the *government* balance sheet.""" + + +UK_PROGRAMS = [ + TaxBenefitProgram(name="income_tax", is_positive=True), + TaxBenefitProgram(name="national_insurance", is_positive=True), + TaxBenefitProgram(name="ni_employer", is_positive=True), + TaxBenefitProgram(name="vat", is_positive=True), + TaxBenefitProgram(name="council_tax", is_positive=True), + TaxBenefitProgram(name="fuel_duty", is_positive=True), + TaxBenefitProgram(name="tax_credits", is_positive=False), + TaxBenefitProgram(name="universal_credit", is_positive=False), + TaxBenefitProgram(name="child_benefit", is_positive=False), + TaxBenefitProgram(name="state_pension", is_positive=False), + TaxBenefitProgram(name="pension_credit", is_positive=False), +] + + +class FiscalSummary(BaseModel): + tax_revenue: float + """The total tax revenue collected by the government.""" + federal_tax: float + """The total tax revenue collected by the federal (or national) government.""" + state_tax: float + """The total tax revenue collected by the state government.""" + government_spending: float + """The total spending by the government on modeled programs.""" + tax_benefit_programs: dict[str, float] + """The total revenue change to the government from each tax-benefit program.""" + household_net_income: float + """The total net income of the households in the simulation.""" + + +def calculate_government_balance( + simulation: Microsimulation, + options: "SimulationOptions", +) -> FiscalSummary: + """Calculate government balance metrics for a set of households.""" + tb_programs = {} + if options.country == "uk": + total_tax = simulation.calculate("gov_tax").sum() + total_spending = simulation.calculate("gov_spending").sum() + for program in UK_PROGRAMS: + tb_programs[program.name] = simulation.calculate( + program.name + ).sum() * (1 if program.is_positive else -1) + total_state_tax = 0 + else: + total_tax = simulation.calculate("household_tax").sum() + total_spending = simulation.calculate("household_benefits").sum() + total_state_tax = simulation.calculate( + "household_state_income_tax" + ).sum() + + national_tax = total_tax - total_state_tax + + total_net_income = simulation.calculate("household_net_income").sum() + + return FiscalSummary( + tax_revenue=total_tax, + federal_tax=national_tax, + state_tax=total_state_tax, + government_spending=total_spending, + tax_benefit_programs=tb_programs, + household_net_income=total_net_income, + ) diff --git a/policyengine/outputs/macro/single/calculate_single_economy.py b/policyengine/outputs/macro/single/calculate_single_economy.py new file mode 100644 index 00000000..12f88986 --- /dev/null +++ b/policyengine/outputs/macro/single/calculate_single_economy.py @@ -0,0 +1,45 @@ +"""Calculate comparison statistics between two economic scenarios.""" + +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation + +from pydantic import BaseModel + +from .budget import FiscalSummary, calculate_government_balance +from .inequality import InequalitySummary, calculate_inequality +from .poverty import PovertyRateMetric, calculate_poverty +from typing import List + + +class SingleEconomy(BaseModel): + fiscal: FiscalSummary + """Government budgets and other top-level fiscal statistics.""" + inequality: InequalitySummary + """Inequality statistics for the household sector.""" + poverty: List[PovertyRateMetric] + """Poverty rates for different demographic groups and poverty definitions.""" + + +def calculate_single_economy( + simulation: "Simulation", +) -> SingleEconomy: + """Calculate economy statistics for a single economic scenario.""" + options = simulation.options + if simulation.is_comparison: + raise ValueError( + "This function is for single economy simulations only." + ) + + fiscal = calculate_government_balance( + simulation.baseline_simulation, options + ) + inequality = calculate_inequality(simulation.baseline_simulation) + poverty = calculate_poverty(simulation.baseline_simulation, options) + + return SingleEconomy( + fiscal=fiscal, + inequality=inequality, + poverty=poverty, + ) diff --git a/policyengine/outputs/macro/single/gov/balance.py b/policyengine/outputs/macro/single/gov/balance.py deleted file mode 100644 index 3bfeb5cc..00000000 --- a/policyengine/outputs/macro/single/gov/balance.py +++ /dev/null @@ -1,18 +0,0 @@ -from policyengine import Simulation - - -def balance(simulation: Simulation) -> dict: - sim = simulation.selected_sim - if simulation.country == "uk": - total_tax = sim.calculate("gov_tax").sum() - total_spending = sim.calculate("gov_spending").sum() - total_state_tax = 0 - elif simulation.country == "us": - total_tax = sim.calculate("household_tax").sum() - total_spending = sim.calculate("household_benefits").sum() - total_state_tax = sim.calculate("household_state_income_tax").sum() - return { - "total_tax": total_tax, - "total_spending": total_spending, - "total_state_tax": total_state_tax, - } diff --git a/policyengine/outputs/macro/single/gov/budget_window.py b/policyengine/outputs/macro/single/gov/budget_window.py deleted file mode 100644 index 61c5b5c4..00000000 --- a/policyengine/outputs/macro/single/gov/budget_window.py +++ /dev/null @@ -1,47 +0,0 @@ -from policyengine import Simulation - -DEFAULT_COUNT_YEARS = 1 - - -def budget_window(simulation: Simulation, count_years: int = None) -> dict: - sim = simulation.selected_sim - current_year = simulation.time_period - if count_years is not None: - years = list(range(current_year, current_year + count_years)) - else: - years = [current_year] - if simulation.country == "uk": - total_tax = [sim.calculate("gov_tax", year).sum() for year in years] - total_spending = [ - sim.calculate("gov_spending", year).sum() for year in years - ] - total_state_tax = [0 for year in years] - total_budget = [ - total_tax[i] - total_spending[i] for i in range(len(years)) - ] - total_federal_budget = total_budget - elif simulation.country == "us": - total_tax = [ - sim.calculate("household_tax", year).sum() for year in years - ] - total_spending = [ - sim.calculate("household_benefits", year).sum() for year in years - ] - total_state_tax = [ - sim.calculate("household_state_income_tax", year).sum() - for year in years - ] - total_budget = [ - total_tax[i] - total_spending[i] for i in range(len(years)) - ] - total_federal_budget = [ - total_tax[i] - total_spending[i] - total_state_tax - for i in range(len(years)) - ] - return { - "total_tax": total_tax, - "total_spending": total_spending, - "total_state_tax": total_state_tax, - "total_budget": total_budget, - "total_federal_budget": total_federal_budget, - } diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py deleted file mode 100644 index 009f350b..00000000 --- a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py +++ /dev/null @@ -1,92 +0,0 @@ -from policyengine import Simulation -from policyengine.utils.huggingface import download -import h5py -from microdf import MicroSeries -import pandas as pd -from typing import Callable -from policyengine_core import Microsimulation -from policyengine.utils.maps import plot_hex_map - - -def local_authorities( - simulation: Simulation, - metric: Callable[[Microsimulation], MicroSeries] = None, - chart: bool = False, - code_index: bool = False, -) -> dict: - """Calculate the impact of the reform on parliamentary constituencies. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - metric (Callable[[Microsimulation], [float]]): A custom function to calculate the impact. This must be called on a Microsimulation and return a float (we will call it for each constituency weight set). - chart (bool): Whether to return a chart or data. - code_index (bool): Whether to use the constituency code as the index. - - Returns: - dict: A dictionary with the impact of the reform on parliamentary constituencies (keys=constituency names, values=metric values). - """ - if not simulation.options.get("include_local_authorities"): - return {} - - if metric is None: - metric = lambda sim: sim.calculate("household_net_income").median() - weights_file_path = download( - repo="policyengine/policyengine-uk-data", - repo_filename="local_authority_weights.h5", - local_folder=None, - version=None, - ) - constituency_names_file_path = download( - repo="policyengine/policyengine-uk-data", - repo_filename="local_authorities_2021.csv", - local_folder=None, - version=None, - ) - constituency_names = pd.read_csv(constituency_names_file_path) - - with h5py.File(weights_file_path, "r") as f: - weights = f[str(simulation.time_period)][...] - - result = {} - - sim = simulation.selected_sim - original_hh_weight = sim.calculate("household_weight").values - - for constituency_id in range(weights.shape[0]): - sim.set_input( - "household_weight", - sim.default_calculation_period, - weights[constituency_id], - ) - sim.get_holder("person_weight").delete_arrays( - sim.default_calculation_period - ) - sim.get_holder("benunit_weight").delete_arrays( - sim.default_calculation_period - ) - calculation_result = metric(sim) - code = constituency_names.code.iloc[constituency_id] - result[constituency_names.set_index("code").loc[code]["name"]] = ( - calculation_result - ) - - sim.get_holder("person_weight").delete_arrays( - sim.default_calculation_period - ) - sim.get_holder("benunit_weight").delete_arrays( - sim.default_calculation_period - ) - sim.set_input( - "household_weight", sim.default_calculation_period, original_hh_weight - ) - - if chart: - return plot_hex_map(result, "local_authorities") - - if code_index: - return { - constituency_names.set_index("name").loc[name]["code"]: value - for name, value in result.items() - } - - return result diff --git a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py deleted file mode 100644 index 9761c9c0..00000000 --- a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py +++ /dev/null @@ -1,92 +0,0 @@ -from policyengine import Simulation -from policyengine.utils.huggingface import download -import h5py -from microdf import MicroSeries -import pandas as pd -from typing import Callable -from policyengine_core import Microsimulation -from policyengine.utils.maps import plot_hex_map - - -def parliamentary_constituencies( - simulation: Simulation, - metric: Callable[[Microsimulation], MicroSeries] = None, - chart: bool = False, - code_index: bool = False, -) -> dict: - """Calculate the impact of the reform on parliamentary constituencies. - - Args: - simulation (Simulation): The simulation for which the impact is to be calculated. - metric (Callable[[Microsimulation], [float]]): A custom function to calculate the impact. This must be called on a Microsimulation and return a float (we will call it for each constituency weight set). - chart (bool): Whether to return a chart or data. - code_index (bool): Whether to use the constituency code as the index. - - Returns: - dict: A dictionary with the impact of the reform on parliamentary constituencies (keys=constituency names, values=metric values). - """ - if not simulation.options.get("include_constituencies"): - return {} - - if metric is None: - metric = lambda sim: sim.calculate("household_net_income").median() - weights_file_path = download( - repo="policyengine/policyengine-uk-data", - repo_filename="parliamentary_constituency_weights.h5", - local_folder=None, - version=None, - ) - constituency_names_file_path = download( - repo="policyengine/policyengine-uk-data", - repo_filename="constituencies_2024.csv", - local_folder=None, - version=None, - ) - constituency_names = pd.read_csv(constituency_names_file_path) - - with h5py.File(weights_file_path, "r") as f: - weights = f[str(simulation.time_period)][...] - - result = {} - - sim = simulation.selected_sim - original_hh_weight = sim.calculate("household_weight").values - - for constituency_id in range(weights.shape[0]): - sim.set_input( - "household_weight", - sim.default_calculation_period, - weights[constituency_id], - ) - sim.get_holder("person_weight").delete_arrays( - sim.default_calculation_period - ) - sim.get_holder("benunit_weight").delete_arrays( - sim.default_calculation_period - ) - calculation_result = metric(sim) - code = constituency_names.code.iloc[constituency_id] - result[constituency_names.set_index("code").loc[code]["name"]] = ( - calculation_result - ) - - sim.get_holder("person_weight").delete_arrays( - sim.default_calculation_period - ) - sim.get_holder("benunit_weight").delete_arrays( - sim.default_calculation_period - ) - sim.set_input( - "household_weight", sim.default_calculation_period, original_hh_weight - ) - - if chart: - return plot_hex_map(result, "parliamentary_constituencies") - - if code_index: - return { - constituency_names.set_index("name").loc[name]["code"]: value - for name, value in result.items() - } - - return result diff --git a/policyengine/outputs/macro/single/gov/programs.py b/policyengine/outputs/macro/single/gov/programs.py deleted file mode 100644 index a58f1e24..00000000 --- a/policyengine/outputs/macro/single/gov/programs.py +++ /dev/null @@ -1,37 +0,0 @@ -from policyengine import Simulation -from dataclasses import dataclass - - -@dataclass -class UKProgram: - name: str - is_positive: bool - - -class UKPrograms: - PROGRAMS = [ - UKProgram("income_tax", True), - UKProgram("national_insurance", True), - UKProgram("vat", True), - UKProgram("council_tax", True), - UKProgram("fuel_duty", True), - UKProgram("tax_credits", False), - UKProgram("universal_credit", False), - UKProgram("child_benefit", False), - UKProgram("state_pension", False), - UKProgram("pension_credit", False), - UKProgram("ni_employer", True), - ] - - -def programs(simulation: Simulation) -> dict: - if simulation.country == "uk": - return { - program.name: simulation.selected_sim.calculate( - program.name, map_to="household" - ).sum() - * (1 if program.is_positive else -1) - for program in UKPrograms.PROGRAMS - } - else: - return {} diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py deleted file mode 100644 index 69070ed1..00000000 --- a/policyengine/outputs/macro/single/household/demographics.py +++ /dev/null @@ -1,31 +0,0 @@ -from policyengine import Simulation - - -def demographics(simulation: Simulation, include_arrays: bool = False) -> dict: - sim = simulation.selected_sim - household_count_people = ( - sim.calculate("household_count_people").astype(int).tolist() - ) - person_weight = sim.calculate("person_weight").astype(float).tolist() - household_weight = sim.calculate("household_weight").astype(float).tolist() - is_male = sim.calculate("is_male").astype(bool).tolist() - if "race" in sim.tax_benefit_system.variables: - race = sim.calculate("race").astype(str).tolist() - else: - race = None - age = sim.calculate("age").astype(int).tolist() - result = { - "household_count_people": household_count_people, - "person_weight": person_weight, - "household_weight": household_weight, - "total_households": sum(household_weight), - "is_male": is_male, - "age": age, - "race": race, - } - if not include_arrays: - return { - "total_households": result["total_households"], - } - else: - return result diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py deleted file mode 100644 index a26b3a2f..00000000 --- a/policyengine/outputs/macro/single/household/finance.py +++ /dev/null @@ -1,87 +0,0 @@ -from policyengine import Simulation - - -def finance(simulation: Simulation, include_arrays: bool = False) -> dict: - sim = simulation.selected_sim - - total_net_income = sim.calculate("household_net_income").sum() - total_market_income = sim.calculate("household_market_income").sum() - total_tax = sim.calculate("household_tax").sum() - total_benefits = sim.calculate("household_benefits").sum() - employment_income_hh = ( - sim.calculate("employment_income", map_to="household") - .astype(float) - .tolist() - ) - self_employment_income_hh = ( - sim.calculate("self_employment_income", map_to="household") - .astype(float) - .tolist() - ) - household_net_income = ( - sim.calculate("household_net_income").astype(float).tolist() - ) - equiv_household_net_income = ( - sim.calculate("equiv_household_net_income").astype(float).tolist() - ) - household_income_decile = ( - sim.calculate("household_income_decile").astype(int).tolist() - ) - household_market_income = ( - sim.calculate("household_market_income").astype(float).tolist() - ) - if "total_wealth" in sim.tax_benefit_system.variables: - wealth = sim.calculate("total_wealth") - household_count_people = sim.calculate("household_count_people").values - wealth.weights *= household_count_people - wealth_decile = wealth.decile_rank().clip(1, 10).astype(int).tolist() - wealth = wealth.astype(float).tolist() - else: - wealth = None - wealth_decile = None - - in_poverty = sim.calculate("in_poverty").astype(bool).tolist() - person_in_poverty = ( - sim.calculate("in_poverty", map_to="person").astype(bool).tolist() - ) - person_in_deep_poverty = ( - sim.calculate("in_deep_poverty", map_to="person").astype(bool).tolist() - ) - poverty_gap = sim.calculate("poverty_gap").sum() - deep_poverty_gap = sim.calculate("deep_poverty_gap").sum() - - poverty_rate = sim.calculate("in_poverty", map_to="person").mean() - deep_poverty_rate = sim.calculate( - "in_deep_poverty", map_to="person" - ).mean() - - result = { - "total_net_income": total_net_income, - "total_market_income": total_market_income, - "total_tax": total_tax, - "total_benefits": total_benefits, - "employment_income_hh": employment_income_hh, - "self_employment_income_hh": self_employment_income_hh, - "household_net_income": household_net_income, - "equiv_household_net_income": equiv_household_net_income, - "household_income_decile": household_income_decile, - "household_market_income": household_market_income, - "wealth": wealth, - "wealth_decile": wealth_decile, - "in_poverty": in_poverty, - "person_in_poverty": person_in_poverty, - "person_in_deep_poverty": person_in_deep_poverty, - "poverty_gap": poverty_gap, - "deep_poverty_gap": deep_poverty_gap, - "poverty_rate": poverty_rate, - "deep_poverty_rate": deep_poverty_rate, - } - - if not include_arrays: - return { - key: value - for key, value in result.items() - if not isinstance(value, list) - } - else: - return result diff --git a/policyengine/outputs/macro/single/household/income_distribution.py b/policyengine/outputs/macro/single/household/income_distribution.py deleted file mode 100644 index af5a9363..00000000 --- a/policyengine/outputs/macro/single/household/income_distribution.py +++ /dev/null @@ -1,59 +0,0 @@ -from policyengine import Simulation -import plotly.express as px -from policyengine.utils.charts import * -import plotly.graph_objects as go -import pandas as pd - - -def income_distribution( - simulation: Simulation, - chart: bool = False, - variable: str = "household_net_income", -) -> dict: - income = simulation.baseline_sim.calculate(variable) - income_upper = income.quantile(0.9) - BAND_SIZE = 5_000 - lower_income_bands = [] - counts = [] - for i in range(0, int(income_upper), BAND_SIZE): - income_in_band = (income >= i) * (income < i + BAND_SIZE) - lower_income_bands.append(i) - counts.append(income_in_band.sum()) - - data = pd.Series(counts, index=lower_income_bands) - - if chart: - return income_distribution_chart(data) - else: - return data.to_dict() - - -def income_distribution_chart(data: pd.Series) -> go.Figure: - - fig = px.bar( - x=data.index, - y=data.values, - labels={"x": "Income", "y": "Number of Households"}, - color_discrete_sequence=[BLUE], - ) - fig.update_layout( - title="Number of households by net income band", - xaxis_title="Household net income", - yaxis_title="Number of households", - ) - - # Add arrow pointing off the right and small note that 10% of households are excluded - - fig.add_annotation( - xref="paper", - yref="paper", - x=1, - y=0.8, - text="Top 10% of households
not shown", - showarrow=True, - arrowhead=2, - # arrow pointing left - ax=-110, - ay=0, - ) - return format_fig(fig) diff --git a/policyengine/outputs/macro/single/household/inequality.py b/policyengine/outputs/macro/single/household/inequality.py deleted file mode 100644 index 607e9fe7..00000000 --- a/policyengine/outputs/macro/single/household/inequality.py +++ /dev/null @@ -1,32 +0,0 @@ -from policyengine import Simulation - - -def inequality(simulation: Simulation) -> dict: - personal_hh_equiv_income = simulation.selected_sim.calculate( - "equiv_household_net_income" - ) - personal_hh_equiv_income[personal_hh_equiv_income < 0] = 0 - household_count_people = simulation.selected_sim.calculate( - "household_count_people" - ).values - personal_hh_equiv_income.weights *= household_count_people - gini = personal_hh_equiv_income.gini() - in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10 - in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100 - - personal_hh_equiv_income.weights /= household_count_people - - top_10_share = ( - personal_hh_equiv_income[in_top_10_pct].sum() - / personal_hh_equiv_income.sum() - ) - top_1_share = ( - personal_hh_equiv_income[in_top_1_pct].sum() - / personal_hh_equiv_income.sum() - ) - - return { - "gini": gini, - "top_10_percent_share": top_10_share, - "top_1_percent_share": top_1_share, - } diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py deleted file mode 100644 index c882acfe..00000000 --- a/policyengine/outputs/macro/single/household/labor_supply.py +++ /dev/null @@ -1,74 +0,0 @@ -from policyengine import Simulation - - -def labor_supply(simulation: Simulation, include_arrays: bool = False) -> dict: - if not simulation.comparison: - return {} - sim = simulation.selected_sim - household_count_people = sim.calculate("household_count_people").values - result = { - "substitution_lsr": 0, - "income_lsr": 0, - "income_lsr_hh": (household_count_people * 0).astype(float).tolist(), - "substitution_lsr_hh": (household_count_people * 0) - .astype(float) - .tolist(), - "weekly_hours": 0, - "weekly_hours_income_effect": 0, - "weekly_hours_substitution_effect": 0, - "total_earnings": sim.calculate("employment_income").sum() - + sim.calculate("self_employment_income").sum(), - "total_workers": (sim.calculate("employment_income") > 0).sum() - + (sim.calculate("self_employment_income") > 0).sum(), - } - - if has_behavioral_response(simulation): - result.update( - { - "substitution_lsr": sim.calculate( - "substitution_elasticity_lsr" - ).sum(), - "income_lsr": sim.calculate("income_elasticity_lsr").sum(), - "income_lsr_hh": sim.calculate( - "income_elasticity_lsr", map_to="household" - ) - .astype(float) - .tolist(), - "substitution_lsr_hh": sim.calculate( - "substitution_elasticity_lsr", map_to="household" - ) - .astype(float) - .tolist(), - } - ) - - if simulation.country == "us": - result.update( - { - "weekly_hours": sim.calculate("weekly_hours_worked").sum(), - "weekly_hours_income_effect": sim.calculate( - "weekly_hours_worked_behavioural_response_income_elasticity" - ).sum(), - "weekly_hours_substitution_effect": sim.calculate( - "weekly_hours_worked_behavioural_response_substitution_elasticity" - ).sum(), - } - ) - - if not include_arrays: - return { - key: value - for key, value in result.items() - if not isinstance(value, list) - } - else: - return result - - -def has_behavioral_response(simulation): - sim = simulation.selected_sim - return ( - "employment_income_behavioral_response" - in sim.tax_benefit_system.variables - and any(sim.calculate("employment_income_behavioral_response") != 0) - ) diff --git a/policyengine/outputs/macro/single/inequality.py b/policyengine/outputs/macro/single/inequality.py new file mode 100644 index 00000000..23cb66f2 --- /dev/null +++ b/policyengine/outputs/macro/single/inequality.py @@ -0,0 +1,50 @@ +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation, SimulationOptions + +from policyengine_core.simulations import Microsimulation + +from pydantic import BaseModel + + +class InequalitySummary(BaseModel): + gini: float + """The Gini coefficient of the household net income distribution.""" + top_10_share: float + """The share of total income held by the top 10% of households.""" + top_1_share: float + """The share of total income held by the top 1% of households.""" + + +def calculate_inequality( + simulation: Microsimulation, +): + """Calculate inequality statistics for a set of households.""" + income = simulation.calculate("equiv_household_net_income") + income[income < 0] = 0 + household_count_people = simulation.calculate("household_count_people") + income.weights *= household_count_people + personal_hh_equiv_income = income + gini = personal_hh_equiv_income.gini() + in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10 + in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100 + + personal_hh_equiv_income.weights /= ( + household_count_people # Don't double-count people + ) + + top_10_share = ( + personal_hh_equiv_income[in_top_10_pct].sum() + / personal_hh_equiv_income.sum() + ) + top_1_share = ( + personal_hh_equiv_income[in_top_1_pct].sum() + / personal_hh_equiv_income.sum() + ) + + return InequalitySummary( + gini=gini, + top_10_share=top_10_share, + top_1_share=top_1_share, + ) diff --git a/policyengine/outputs/macro/single/poverty.py b/policyengine/outputs/macro/single/poverty.py new file mode 100644 index 00000000..91aa8639 --- /dev/null +++ b/policyengine/outputs/macro/single/poverty.py @@ -0,0 +1,104 @@ +import typing + +if typing.TYPE_CHECKING: + from policyengine import Simulation, SimulationOptions + +from policyengine_core.simulations import Microsimulation + +from pydantic import BaseModel +from typing import Literal, List +import numpy as np + + +class PovertyRateMetric(BaseModel): + age_group: Literal["child", "working_age", "senior", "all"] + """The age group of the population.""" + racial_group: Literal["white", "black", "hispanic", "other", "all"] + """The racial group of the population.""" + relative: bool + """Whether the poverty rate is relative to the total population, or a headcount.""" + poverty_rate: Literal[ + "uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half" + ] + """The poverty rate definition being calculated.""" + value: float + """The poverty rate value.""" + + +AGE_BOUNDS = { + "child": (0, 18), + "working_age": (18, 65), + "senior": (65, np.inf), + "all": (0, np.inf), +} + + +def calculate_poverty( + simulation: Microsimulation, + options: "SimulationOptions", +) -> List[PovertyRateMetric]: + """Calculate poverty statistics for a set of households.""" + + poverty_metrics = [] + age = simulation.calculate("age") + person_weight = simulation.calculate("person_weight").values + if options.country == "us": + racial_groups = ["white", "black", "hispanic", "other", "all"] + else: + racial_groups = ["all"] + for age_group in ["child", "working_age", "senior", "all"]: + lower_age, upper_age = AGE_BOUNDS[age_group] + in_age_group = (age >= lower_age) & (age < upper_age) + for racial_group in racial_groups: + if racial_group != "all": + in_racial_group = simulation.calculate("race") == racial_group + else: + in_racial_group = np.ones_like(age, dtype=bool) + for relative in [True, False]: + for poverty_rate in [ + "uk_hbai_bhc", + "uk_hbai_bhc_half", + "us_spm", + "us_spm_half", + ]: + if not poverty_rate.startswith(options.country): + continue + + if poverty_rate == "uk_hbai_bhc": + in_poverty = simulation.calculate( + "in_poverty", map_to="person" + ) + elif poverty_rate == "uk_hbai_bhc_half": + in_poverty = simulation.calculate( + "in_deep_poverty", map_to="person" + ) + elif poverty_rate == "us_spm": + in_poverty = simulation.calculate( + "in_poverty", map_to="person" + ) + elif poverty_rate == "us_spm_half": + in_poverty = simulation.calculate( + "in_deep_poverty", map_to="person" + ) + + in_group = np.array(in_age_group & in_racial_group) + total_in_group = (in_group * person_weight).sum() + total_in_group_in_poverty = ( + in_group * in_poverty * person_weight + ).sum() + if relative: + result = total_in_group_in_poverty / total_in_group + else: + result = total_in_group_in_poverty + + poverty_metrics.append( + PovertyRateMetric( + age_group=age_group, + racial_group=racial_group, + relative=relative, + poverty_rate=poverty_rate, + value=result, + ) + ) + + return poverty_metrics diff --git a/policyengine/simulation.py b/policyengine/simulation.py index 9cdfcb1c..65f8bad9 100644 --- a/policyengine/simulation.py +++ b/policyengine/simulation.py @@ -1,298 +1,142 @@ -from policyengine_core import Simulation as CountrySimulation -from policyengine_core import Microsimulation as CountryMicrosimulation +"""Simulate tax-benefit policy and derive society-level output statistics.""" + +from pydantic import BaseModel, Field +from typing import Literal +from .constants import DEFAULT_DATASETS_BY_COUNTRY +from policyengine_core.simulations import Simulation as CountrySimulation +from policyengine_core.simulations import ( + Microsimulation as CountryMicrosimulation, +) +from .utils.reforms import ParametricReform, SimulationAdjustment +from policyengine_core.reforms import Reform as StructuralReform from policyengine_core.data import Dataset -from policyengine.utils.huggingface import download -from policyengine_core.reforms import Reform -from typing import Tuple, Any -from policyengine.constants import * -import pandas as pd +from .utils.huggingface import download +from policyengine_us import ( + Simulation as USSimulation, + Microsimulation as USMicrosimulation, +) +from policyengine_uk import ( + Simulation as UKSimulation, + Microsimulation as UKMicrosimulation, +) import h5py from pathlib import Path -from typing import Literal +import pandas as pd +from typing import Type +from functools import wraps +from .outputs.macro.comparison.calculate_economy_comparison import ( + calculate_economy_comparison, + EconomyComparison, +) +from .outputs.macro.single.calculate_single_economy import ( + SingleEconomy, + calculate_single_economy, +) + +from .outputs.household.single.calculate_single_household import ( + SingleHousehold, + calculate_single_household, +) + +from .outputs.household.comparison.calculate_household_comparison import ( + HouseholdComparison, + calculate_household_comparison, +) + +CountryType = Literal["uk", "us"] +ScopeType = Literal["household", "macro"] +DataType = str | dict | None # Needs stricter typing +TimePeriodType = int +ReformType = ( + ParametricReform | SimulationAdjustment | Type[StructuralReform] | None +) +RegionType = str | None +SubsampleType = int | None + + +class SimulationOptions(BaseModel): + country: CountryType = Field(..., description="The country to simulate.") + scope: ScopeType = Field(..., description="The scope of the simulation.") + data: DataType = Field(None, description="The data to simulate.") + time_period: TimePeriodType = Field( + 2025, description="The time period to simulate.", ge=2024, le=2035 + ) + reform: ReformType = Field(None, description="The reform to simulate.") + baseline: ReformType = Field(None, description="The baseline to simulate.") + region: RegionType = Field( + None, description="The region to simulate within the country." + ) + subsample: SubsampleType = Field( + None, + description="How many, if a subsample, households to randomly simulate.", + ) class Simulation: - """The top-level class through which all PE usage is carried out.""" - - country: Literal["uk", "us"] - """The country for which the simulation is being run.""" - scope: Literal["macro", "household"] - """The type of simulation being run (macro or household).""" - data: dict | str | Dataset - """The dataset being used for the simulation.""" - time_period: str | None - """The time period for the simulation. Years are applicable.""" - baseline: dict | None - """The baseline simulation inputs.""" - reform: dict | None - """The reform simulation inputs.""" - options: dict - """Dynamic options for the simulation type.""" - - comparison: bool - """Whether we are comparing two simulations, or analysing a single one.""" - baseline_sim: CountrySimulation - """The tax-benefit simulation for the baseline scenario.""" - reformed_sim: CountrySimulation | None = None - """The tax-benefit simulation for the reformed scenario. None if no reform has been configured""" - selected_sim: CountrySimulation | None = None - """The selected simulation for the current calculation. None if not a reform.""" - verbose: bool = False - """Whether to print out progress messages.""" - - def __init__( - self, - country: Literal["uk", "us"], - scope: Literal["macro", "household"], - data: str | dict | None = None, - time_period: str | None = Literal[ - 2024, 2025, 2026, 2027, 2028, 2029, 2030 - ], - reform: dict | None = None, - baseline: dict | None = None, - verbose: bool = False, - options: dict | None = None, - ): - """Initialise the simulation with the given parameters. - - Args: - country (str): The country for which the simulation is being run. - type (str): The type of simulation being run (macro or household). - data (str): The dataset being used for the simulation. - time_period (str): The time period for the simulation. Years are applicable. - reform (dict): The reform simulation inputs. - """ - self.country = country - self.scope = scope - self._set_dataset(data) - self.time_period = time_period - self.verbose = verbose - self.options = options or {} - self.baseline = baseline - self.reform = reform - - self.comparison = reform is not None - - self.output_functions, self.outputs = self._get_outputs() + """Simulate tax-benefit policy and derive society-level output statistics.""" - self._initialise_simulations() - - def _set_dataset(self, dataset: str | dict | None): - if isinstance(dataset, dict): - self.data = dataset - return - - self.data = DEFAULT_DATASETS[self.country] - if dataset in DATASETS[self.country]: - self.data = DATASETS[self.country][dataset] - - # Short-term hacky fix: handle legacy 'array' datasets that don't specify the year for each variable: we should transition these to variable/period/value format. - # But they're used frequently for now, and we need backwards compatibility. - - if self.data is not None and "cps_2023" in self.data: - if "hf://" in self.data: - owner, repo, filename = self.data.split("/")[-3:] - if "@" in filename: - version = filename.split("@")[-1] - filename = filename.split("@")[0] - else: - version = None - self.data = download( - repo=owner + "/" + repo, - repo_filename=filename, - local_folder=None, - version=version, - ) - self.data = Dataset.from_file(self.data, "2023") - - def calculate(self, output: str, force: bool = False, **kwargs) -> Any: - """Calculate the given output (path). - - Args: - output (str): The output to calculate. Must be a valid path in the output tree. - force (bool): Whether to force recalculation of the output, even if it has already been calculated. - **kwargs: Any additional arguments to pass to the output function. - - Returns: - Any: The output of the calculation (using the cache if possible). - """ - if self.verbose: - print(f"Calculating {output}...") - if output.endswith("/"): - output = output[:-1] - - if output == "": - output = self.scope - - node = self.outputs - - for child_key in output.split("/")[:-1]: - if child_key not in node: - raise KeyError( - f"Output '{child_key}' not found in '{node}'. Available keys are: {list(node.keys())}" - ) - node = node[child_key] - - parent = node - child_key = output.split("/")[-1] - if parent is None: - parent = self.calculate("/".join(output.split("/")[:-1])) - if child_key not in parent: - try: - is_numeric_key = int(child_key) in parent - except ValueError: - is_numeric_key = False - if is_numeric_key: - child_key = int(child_key) - else: - # Maybe you've requested a key that is only available as a dictionary - # item in one of the output functions. Let's try to calculate the full output, - # then check the result to see if it's there. - self.calculate("/".join(output.split("/")[:-1])) - if child_key not in parent: - raise KeyError( - f"Output '{child_key}' not found in '{output}'. Available keys are: {list(parent.keys())}" - ) - node = parent[child_key] - - # Check if any descendants are None - - if ( - force or parent[child_key] is None or len(kwargs) > 0 - ) and output in self.output_functions: - output_function = self.output_functions[output] - node = output_function(self, **kwargs) - if len(kwargs) == 0: - # Only save as part of the larger tree if no non-standard args are passed - parent[child_key] = node - - if isinstance(node, dict) and len(kwargs) == 0: - for child_key in node.keys(): - self.calculate(output + "/" + str(child_key)) - - return node - - def _get_outputs(self) -> Tuple[dict, dict]: - """Get all the output functions and construct the output tree. - - Returns: - Tuple[dict, dict]: A tuple containing the output functions and the output tree. - """ - from pathlib import Path - import importlib.util - - output_functions = {} - for output in Path(__file__).parent.glob("outputs/**/*.py"): - module_name = output.stem - spec = importlib.util.spec_from_file_location(module_name, output) - if spec is None: - raise RuntimeError( - f"Expected to load a spec from file '{output.absolute}'" - ) - module = importlib.util.module_from_spec(spec) - relative_path = str( - output.relative_to(Path(__file__).parent / "outputs") - ).replace(".py", "") - if not self.comparison and "/comparison/" in relative_path: - # If we're just analysing one scenario, skip loading the comparison modules. - continue - if f"{self.scope}/" not in relative_path: - # Don't load household modules for macro comparisons, etc. - continue - - if spec.loader is None: - raise RuntimeError( - f"Expected module from '{output.absolute}' to have a loader, but it does not" - ) - spec.loader.exec_module(module) - - # Only import the function with the same name as the module, enforcing one function per file - try: - output_functions[str(relative_path)] = getattr( - module, module_name - ) - except AttributeError: - raise AttributeError( - f"Each module must contain a function with the same name as the module. Module '{str(relative_path)}.py' does not." - ) - - # If we are just calculating for a single scenario, put all 'macro/single/' children under 'macro/'. - # If not, duplicate them into 'macro/baseline/' and 'single/reform'. - - single_keys = [key for key in output_functions if "single/" in key] - for key in single_keys: - root = key.split("/")[0] - rest = "/".join(key.split("/")[2:]) - func = output_functions[key] - - def passed_reform_simulation(func, is_reform): - def adjusted_func(simulation: Simulation, **kwargs): - if is_reform: - simulation.selected_sim = simulation.reformed_sim - else: - simulation.selected_sim = simulation.baseline_sim - return func(simulation, **kwargs) - - adjusted_func.__name__ = func.__name__ - adjusted_func.__doc__ = func.__doc__ - - return adjusted_func - - if self.comparison: - output_functions[f"{root}/baseline/{rest}"] = ( - passed_reform_simulation(func, False) - ) - output_functions[f"{root}/reform/{rest}"] = ( - passed_reform_simulation(func, True) - ) - else: - output_functions[f"{root}/{rest}"] = passed_reform_simulation( - func, False - ) + is_comparison: bool + """Whether the simulation is a comparison between two scenarios.""" + baseline_simulation: CountrySimulation + """The baseline tax-benefit simulation.""" + reform_simulation: CountrySimulation | None = None + """The reform tax-benefit simulation.""" - del output_functions[key] + def __init__(self, options: SimulationOptions): + self.options = SimulationOptions(**options) - # Construct the output tree, fill with Nones for now + if self.options.data is None: + self.options.data = DEFAULT_DATASETS_BY_COUNTRY[ + self.options.country + ] - outputs = {} - - for output_path in output_functions.keys(): - parts = output_path.split("/") - current = outputs - for part in parts[:-1]: - if part not in current: - current[part] = {} - current = current[part] - current[parts[-1]] = None + self._initialise_simulations() - return output_functions, outputs + def _set_data(self): + if self.options.data is None: + self.options.data = DEFAULT_DATASETS_BY_COUNTRY[ + self.options.country + ] - def _to_reform(self, value: int | dict): - if isinstance(value, dict): - return Reform.from_dict(value, country_id=self.country) - return Reform.from_api(f"{value}", country_id=self.country) + self._data_handle_cps_special_case() def _initialise_simulations(self): - from policyengine_us import ( - Simulation as USSimulation, - Microsimulation as USMicrosimulation, - ) - from policyengine_uk import ( - Simulation as UKSimulation, - Microsimulation as UKMicrosimulation, + self.baseline_simulation = self._initialise_simulation( + scope=self.options.scope, + country=self.options.country, + reform=self.options.baseline, + data=self.options.data, + time_period=self.options.time_period, + region=self.options.region, + subsample=self.options.subsample, ) - self._parsed_reform = ( - self._to_reform(self.reform) if self.reform is not None else None - ) - self._parsed_baseline = ( - self._to_reform(self.baseline) - if self.baseline is not None - else None - ) + if self.options.reform is not None: + self.reform_simulation = self._initialise_simulation( + scope=self.options.scope, + country=self.options.country, + reform=self.options.reform, + data=self.options.data, + time_period=self.options.time_period, + region=self.options.region, + subsample=self.options.subsample, + ) + self.is_comparison = True + else: + self.is_comparison = False - macro = self.scope == "macro" - _simulation_type = { + def _initialise_simulation( + self, + country: CountryType, + scope: ScopeType, + reform: ReformType, + data: DataType, + time_period: TimePeriodType, + region: RegionType, + subsample: SubsampleType, + ): + macro = scope == "macro" + _simulation_type: Type[CountrySimulation] = { "uk": { True: UKMicrosimulation, False: UKSimulation, @@ -301,71 +145,53 @@ def _initialise_simulations(self): True: USMicrosimulation, False: USSimulation, }, - }[self.country][macro] - self.baseline_sim = _simulation_type( - dataset=self.data if macro else None, - situation=self.data if not macro else None, - reform=self._parsed_baseline, - ) - if self.time_period is not None: - self.baseline_sim.default_calculation_period = self.time_period - - if "region" in self.options and isinstance( - self.baseline_sim, CountryMicrosimulation - ): - self.baseline_sim = self._apply_region_to_simulation( - self.baseline_sim, - _simulation_type, - self.options["region"], - reform=self.baseline_sim.reform, - ) + }[country][macro] - if "subsample" in self.options: - self.baseline_sim = self.baseline_sim.subsample( - self.options["subsample"] - ) + if isinstance(reform, ParametricReform): + reform = reform.model_dump() + + simulation_editing_reform = None - if self.comparison: - if self._parsed_baseline is not None: - self._parsed_reform = (self._parsed_baseline, self.reform) - self.reformed_sim = _simulation_type( - dataset=self.data if macro else None, - situation=self.data if not macro else None, - reform=self._parsed_reform, + if isinstance(reform, SimulationAdjustment): + simulation_editing_reform = reform.root + reform = None + + simulation: CountrySimulation = _simulation_type( + dataset=data if macro else None, + situation=data if not macro else None, + reform=reform, + ) + + if region is not None: + simulation = self._apply_region_to_simulation( + country=country, + simulation=simulation, + simulation_type=_simulation_type, + region=region, + reform=reform, + time_period=time_period, ) - if self.time_period is not None: - self.reformed_sim.default_calculation_period = self.time_period - if "region" in self.options and isinstance( - self.reformed_sim, CountryMicrosimulation - ): - self.reformed_sim = self._apply_region_to_simulation( - self.reformed_sim, - _simulation_type, - self.options["region"], - reform=self._parsed_reform, - ) + simulation.default_calculation_period = time_period - if "subsample" in self.options: - self.reformed_sim = self.reformed_sim.subsample( - self.options["subsample"] - ) + if subsample is not None: + simulation = simulation.subsample(subsample) - # Set the 'baseline tax-benefit system' to be the actual baseline. For example, when working out an individual's - # baseline MTR, it should use the actual policy baseline, not always current law. + if simulation_editing_reform is not None: + simulation_editing_reform(simulation) - self.reformed_sim.get_branch("baseline").tax_benefit_system = ( - self.baseline_sim.tax_benefit_system - ) + return simulation def _apply_region_to_simulation( self, + country: CountryType, simulation: CountryMicrosimulation, simulation_type: type, - region: str, - reform: Reform = None, - ): - if self.country == "us": + region: RegionType, + reform: ReformType | None, + time_period: TimePeriodType, + ) -> CountrySimulation: + if country == "us": df = simulation.to_input_dataframe() state_code = simulation.calculate( "state_code_str", map_to="person" @@ -378,7 +204,7 @@ def _apply_region_to_simulation( simulation = simulation_type( dataset=df[state_code == state.upper()], reform=reform ) - elif self.country == "uk": + elif country == "uk": if "country/" in region: region = region.split("/")[1] df = simulation.to_input_dataframe() @@ -420,14 +246,7 @@ def _apply_region_to_simulation( ) with h5py.File(weights_file_path, "r") as f: - weights = f[str(self.time_period)][...] - - print( - weights[constituency_id], - simulation.default_calculation_period, - ) - - simulation.calculate("household_net_income") + weights = f[str(time_period)][...] simulation.set_input( "household_weight", @@ -462,14 +281,44 @@ def _apply_region_to_simulation( with h5py.File(weights_file_path, "r") as f: weights = f[str(self.time_period)][...] - simulation.calculate("household_net_income") - simulation.set_input( "household_weight", simulation.default_calculation_period, weights[la_id], ) - simulation.default_calculation_period = self.time_period - return simulation + + def _data_handle_cps_special_case(self): + """Handle special case for CPS data- this data doesn't specify time periods for each variable, but we still use it intensively.""" + if self.data is not None and "cps_2023" in self.data: + if "hf://" in self.data: + owner, repo, filename = self.data.split("/")[-3:] + if "@" in filename: + version = filename.split("@")[-1] + filename = filename.split("@")[0] + else: + version = None + self.data = download( + repo=owner + "/" + repo, + repo_filename=filename, + local_folder=None, + version=version, + ) + self.data = Dataset.from_file(self.data, "2023") + + def calculate_economy_comparison(self) -> EconomyComparison: + """Calculate comparison statistics between two economic scenarios.""" + return calculate_economy_comparison(self) + + def calculate_single_economy(self) -> SingleEconomy: + """Calculate economy statistics for a single economic scenario.""" + return calculate_single_economy(self) + + def calculate_single_household(self) -> SingleHousehold: + """Calculate household statistics for a single household scenario.""" + return calculate_single_household(self) + + def calculate_household_comparison(self) -> HouseholdComparison: + """Calculate comparison statistics between two household scenarios.""" + return calculate_household_comparison(self) diff --git a/policyengine/utils/budget.py b/policyengine/utils/budget.py index 57597448..e2d0e12f 100644 --- a/policyengine/utils/budget.py +++ b/policyengine/utils/budget.py @@ -1,5 +1,4 @@ import pandas as pd -from policyengine import Simulation def budget_breakdown( @@ -23,6 +22,8 @@ def budget_breakdown( Returns: pd.DataFrame: A DataFrame containing the budgetary impact of the reform by provision. """ + from policyengine import Simulation + subreform_items = [] year_items = [] budget_items = [] diff --git a/policyengine/utils/calculations.py b/policyengine/utils/calculations.py new file mode 100644 index 00000000..b6c24e7e --- /dev/null +++ b/policyengine/utils/calculations.py @@ -0,0 +1,38 @@ +from typing import Dict +from pydantic import BaseModel + +Output = Dict[str, float | None] + + +def get_change( + x: Output | Dict[str, Output], + y: Output | Dict[str, Output], + relative: bool, +) -> Output | Dict[str, Output]: + """Take two objects of nested str-float relations and create a similarly-structured object with the differences.""" + if isinstance(x, BaseModel): + output_class = type(x) + x = x.model_dump() + else: + output_class = dict + if isinstance(y, BaseModel): + y = y.model_dump() + result = {} + for key in x: + if isinstance(x[key], dict): + result[key] = get_change(x[key], y[key], relative=relative) + elif x[key] is None and y[key] is None: + result[key] = None + elif x[key] is None: + raise ValueError(f"Key {key} is None in x but not in y") + elif y[key] is None: + raise ValueError(f"Key {key} is None in y but not in x") + elif not relative: + result[key] = y[key] - x[key] + else: + if x[key] == 0: + result[key] = 0 + else: + result[key] = (y[key] - x[key]) / x[key] + + return output_class(**result) diff --git a/policyengine/utils/maps.py b/policyengine/utils/maps.py index 562767d5..ad148a25 100644 --- a/policyengine/utils/maps.py +++ b/policyengine/utils/maps.py @@ -1,6 +1,5 @@ import pandas as pd import plotly.express as px -from policyengine import Simulation import pandas as pd from policyengine.utils.huggingface import download import plotly.express as px diff --git a/policyengine/utils/reforms.py b/policyengine/utils/reforms.py index 3e67e1ec..ab8225bb 100644 --- a/policyengine/utils/reforms.py +++ b/policyengine/utils/reforms.py @@ -1,35 +1,19 @@ -from policyengine_core.model_api import * -from policyengine_core.periods import instant -from typing import List +import re +from pydantic import RootModel, ValidationError, Field, model_validator +from typing import Dict, TYPE_CHECKING +from annotated_types import Ge, Le +from typing_extensions import Annotated +from typing import Callable +from policyengine_core.simulations import Simulation -def index_parameters( - parameters: List[str], index: str, start_year: int, end_year: int -): - """Create a reform that indexes parameters to a given index (e.g. inflation). +class ParametricReform(RootModel): + """A reform that just changes parameter values.""" - Args: - parameters (List[str]): The parameters to index. - index (str): The index to use. - start_year (int): The first year that will be added as an indexed entry. - end_year (int): The last year that will be added as an indexed entry. + root: Dict[str, Dict | float | bool] - Returns: - Reform: A reform that indexes the given parameters to the index. - """ - class reform(Reform): - def apply(self): - index_p = self.parameters.get_child(index) - for parameter in parameters: - param = self.parameters.get_child(parameter) - for year in range(start_year, end_year + 1): - param.update( - start=instant(year), - stop=instant(year + 1), - value=param(start_year - 1) - * index_p(year) - / index_p(start_year - 1), - ) +class SimulationAdjustment(RootModel): + """A reform that changes the simulation in some way.""" - return reform + root: object # Python callable function that takes a Simulation object and returns nothing. Not JSON serialisable. Needs fixing. diff --git a/pyproject.toml b/pyproject.toml index f3cef826..c3ae9885 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "policyengine" -version = "2.4.1" +version = "2.5.0" description = "A package to conduct policy analysis using PolicyEngine tax-benefit models." readme = "README.md" authors = [ @@ -18,6 +18,7 @@ dependencies = [ "policyengine-us", "microdf_python", "getpass4", + "pydantic", ] [project.optional-dependencies] @@ -25,6 +26,7 @@ dev = [ "black", "pytest", "furo", + "autodoc_pydantic", "jupyter-book", "yaml-changelog>=0.1.7", "itables", diff --git a/tests/country/test_uk.py b/tests/country/test_uk.py new file mode 100644 index 00000000..27a1022d --- /dev/null +++ b/tests/country/test_uk.py @@ -0,0 +1,27 @@ +def test_uk_macro_single(): + from policyengine import Simulation + + sim = Simulation( + { + "scope": "macro", + "country": "uk", + } + ) + + sim.calculate_single_economy() + + +def test_uk_macro_comparison(): + from policyengine import Simulation + + sim = Simulation( + { + "scope": "macro", + "country": "uk", + "reform": { + "gov.hmrc.income_tax.allowances.personal_allowance.amount": 15_000, + }, + } + ) + + sim.calculate_economy_comparison() diff --git a/tests/country/test_us.py b/tests/country/test_us.py new file mode 100644 index 00000000..54add4d5 --- /dev/null +++ b/tests/country/test_us.py @@ -0,0 +1,25 @@ +def test_us_macro_single(): + from policyengine import Simulation + + sim = Simulation( + { + "scope": "macro", + "country": "us", + } + ) + + sim.calculate_single_economy() + + +def test_us_macro_comparison(): + from policyengine import Simulation + + sim = Simulation( + { + "scope": "macro", + "country": "us", + "reform": {}, + } + ) + + sim.calculate_economy_comparison() diff --git a/tests/test_package.py b/tests/test_package.py new file mode 100644 index 00000000..60c2ab07 --- /dev/null +++ b/tests/test_package.py @@ -0,0 +1,2 @@ +def test_package_imports(): + from policyengine import Simulation