Skip to content

To do list #1

@nilshg

Description

@nilshg

Introduction

  • Write the introduction

Chapter 1: Models of wealth distributions (literature review)

  • Complete section on exogeneity of interest rates
  • Add section on importance of income risk and market structure (Krueger/Perri, Attanasio/Pavoni, Blundell, Violante papers)
  • Add section on models of the top tail of the distribution (De Nardi et al)
  • Select some additional papers from my literature review, possibility of mentioning Barba/Pivett

Chapter 2: Heterogeneous Profiles and Income Risk

  • "Replicate" Guvenen (2009) to the degree possible
  • Write up results for 1968-2013 sample compared to original 1968-1996 sample
  • Double check results for 1968-1979, 1980-1991 and (most importantly) 1992-2013
  • Create BHPS 1992-2009 sample comparable to PSID
  • Estimate processes for BHPS

Chapter 3: Wealth Distributions in Models with Learning about Income Processes

  • Establish baseline results using Guvenen's distributions
  • Write minimum distance estimator function
  • Implement combined linear/spline interpolation if possible
  • Conduct experiments with changing dispersion of beta (think about what this means for aggregate income and its distribution!)
  • Comparison of SCF1983 (or 89) and 2010 (or 13) with model output given income process with parameters estimated for earlier and later period in PSID
  • Comparative statics for parameters of income process
  • Comparative statics for belief parameters

Chapter 4: The Competitive Effects of Trade Liberalization in North America

  • Update literature section with Dix-Carneiro and Melitz/Redding AER P&P, and Costinot/Rodriguez-Clare
  • Ensure correct tables are included in Appendix (possibly re-run estimations to check)
  • Add 4-digit regression tables

Conclusion

  • Write a conclusion

Metadata

Metadata

Assignees

Labels

No labels
No labels

Projects

No projects

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions