The effect of various tax and redistribution models on the Gini coefficient of simple exchange games.

Clicks: 165
ID: 30302
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #44 of 45 articles by views in chaos (woodbury, ny)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The Bennati-Drăgulescu-Yakovenko (BDY) game is an agent-based simple exchange game that models a basic economic system. The BDY game results in the agents' wealth following a Boltzmann-Gibbs distribution. In other words, the result of the game is many "poor" agents and few "wealthy" agents. In this paper, we apply several tax and redistribution models to study their effect on the population's wealth distribution by computing the resulting Gini coefficient of the system. We find that income taxes, both flat and progressive, that evenly redistributed taxed monies do little to change the Gini coefficient from the Boltzmann-Gibbs distribution. However, income taxes that are redistributed to the poorest agents can significantly lower the Gini coefficient, resulting in a more evenly distributed wealth distribution. Furthermore, we find that a very small wealth tax can lead to significant decreases in the Gini coefficient.
Reference Key
kulp2019thechaos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kulp, Christopher W;Kurtz, Michael;Wilston, Nathaniel;Quigley, Luke;
Journal chaos (woodbury, ny)
Year 2019
DOI
10.1063/1.5110487
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.