A Statistical Field Approach to Capital Accumulation
Pierre Gosselin (IF), A\"ileen Lotz, Marc Wambst (IRMA)

TL;DR
This paper introduces a statistical field theory model of capital accumulation among heterogeneous agents in an exchange space, revealing how spatial interactions influence economic dynamics and phases of capital growth.
Contribution
It applies a novel formalism based on statistical field theory to analyze complex agent interactions and spatial effects in capital accumulation models.
Findings
Spatial interactions induce distinct phases in capital dynamics.
Central initial positions lead to higher average capital accumulation.
Attractive forces in the exchange space significantly affect agent positioning and growth.
Abstract
This paper presents a model of capital accumulation for a large number of heterogenous producer-consumers in an exchange space in which interactions depend on agents' positions. Each agent is described by his production, consumption, stock of capital, as well as the position he occupies in this abstract space. Each agent produces one differentiated good whose price is fixed by market clearing conditions. Production functions are Cobb-Douglas, and capital stocks follow the standard capital accumulation dynamic equation. Agents consume all goods but have a preference for goods produced by their closest neighbors. Agents in the exchange space are subject both to attractive and repulsive forces. Exchanges drive agents closer, but beyond a certain level of proximity, agents will tend to crowd out more distant agents. The present model uses a formalism based on statistical field theory…
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