Skip to content

jdebacker/wealthtax

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

======================== Wealth Tax Paper

Abstract

This project looks at the effects of both a wealth tax and an increase in the progressivity of the income tax on inequality in the context of an OLG model that is closely related to the open source OG-USA model. The repo includes data used in the calibration, and all the Python code necessary to solve and simulate the model.

Contributors

  • Jason DeBacker
  • Richard W. Evans
  • Evan Magnusson
  • Kerk Phillips
  • Shanthi Ramnath
  • Isaac Swift

How to use the Repository

In order to run the model, please do the following (after making sure you have the Anaconda distribution of Python installed):

  1. Set your Pyton environment to run the scripts in this repos:
    • conda env create
    • source activate ospcdyn
  2. Navigate to the Python folder and run
    • python run_wealthtax.py
  3. To produce output after these runs have completed exectute:
    • python wealthtax_figures.py
    • python wealthtax_tables.py
    • The resulting output will be in WealthTaxTables.xlsx and in the Graphs folder.

About

Model for Scoring Wealth Tax and Increased Progressivity in Income Tax - Python Based

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 92.3%
  • Roff 3.9%
  • Jupyter Notebook 3.3%
  • Other 0.5%