How Fixed-Amount Transactions and Liquidity Constraints Amplify Wealth Inequality: A Kinetic Model Deviating from the Maximum Entropy Benchmark
Jihyuan Liuh

TL;DR
This paper models how fixed-amount transactions and liquidity constraints lead to high wealth inequality, deviating from classical maximum entropy predictions, and highlights the poverty trap as a key mechanism.
Contribution
It introduces a minimalist kinetic exchange model incorporating realistic constraints, revealing how inequality emerges without agent heterogeneity or multiplicative advantages.
Findings
Wealth distribution exhibits high inequality with a pauper class and exponential tail.
The poverty trap mechanism causes passive zero-wealth agents to hinder wealth circulation.
Numerical and agent-based simulations confirm the model's predictions.
Abstract
This paper investigates the emergence of wealth inequality through a minimalist kinetic exchange model that incorporates two fundamental economic features: fixed-amount transactions and hard budget constraints. In contrast to the maximum entropy principle, which predicts an exponential Boltzmann-Gibbs distribution with moderate inequality for unconstrained wealth exchange, we demonstrate that these realistic trading rules drive the system toward a highly unequal steady state. We develop a self-consistent mean-field theory, deriving a master equation where agent income follows a Poisson process coupled to the poverty rate. Numerical solution reveals a stationary distribution characterized by a substantial pauper class, high Gini coefficient, and exponential tail--significantly deviating from the maximum entropy benchmark. Agent-based simulations confirm these findings. We identify the…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Economic and Technological Innovation · Economic theories and models
