WiNDC National

This package contains methods to build the WiNDC National data from the source BEA input/output tables.

Example Usage

using WiNDCNational
using DataFrames
import MPSGE # import MPSGE to avoid name conflicts


X = build_us_table(:summary)

Y, M = calibrate(X) # Calibrate the model


# Compare pre-calibration and post-calibration data
leftjoin(
    table(X),
    table(Y),
    on = [:row, :col, :year, :parameter],
    renamecols = "_X" => "_Y"
) |>
x -> transform(x,
    [:value_X, :value_Y] => ByRow((x,y) -> abs(x - y)) => :diff
) |>
x -> subset(x, :diff => ByRow(>(1e-6))) |>
x -> sort(x, :diff)



M = national_mpsge(Y) # add keyword year = 2023 to solve for a specific year
MPSGE.solve!(M; cumulative_iteration_limit=0) # Solve at benchmark

MPSGE.set_value!.(M[:Absorption_Tax], 0) # Set some taxes to 0
MPSGE.solve!(M)