Wealth Dynamics Over Generations: Analysis and Interventions
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron, Roth, Juba Ziani

TL;DR
This paper models the evolution of wealth across generations using a feedback loop system, analyzing conditions for transient versus persistent inequality and exploring interventions to mitigate wealth disparities.
Contribution
It introduces a stylized generational wealth model incorporating feedback, signals, and decision-making, providing insights into conditions for inequality persistence and potential policy interventions.
Findings
Multiple fixed points can lead to persistent inequality.
Interventions like increasing university capacity can reduce inequality.
Model identifies conditions for wealth dynamics to stabilize or diverge.
Abstract
We present a stylized model with feedback loops for the evolution of a population's wealth over generations. Individuals have both talent and wealth: talent is a random variable distributed identically for everyone, but wealth is a random variable that is dependent on the population one is born into. Individuals then apply to a downstream agent, which we treat as a university throughout the paper (but could also represent an employer) who makes a decision about whether to admit them or not. The university does not directly observe talent or wealth, but rather a signal (representing e.g. a standardized test) that is a convex combination of both. The university knows the distributions from which an individual's type and wealth are drawn, and makes its decisions based on the posterior distribution of the applicant's characteristics conditional on their population and signal. Each…
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Taxonomy
TopicsEconomic theories and models · Complex Systems and Time Series Analysis
