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An Agent-Based Approach to Classical Competitive Prices

  • Queen Mary University of London
  • University of Massachusetts
  • Hitotsubashi University
  • Kochi University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper develops a novel agent-based computational simulation of the classical competitive process and price formation. The simulation consists of many capitalists who make decisions of how to allocate capital across industries, and workers who sell their labour-power to capitalists. Capitalists make independent decisions of which good(s) to produce and engage in decentralised exchange with one another to obtain other goods needed for future production. Decisions of how to allocate capital across sectors are based on comparisons of capitalists’ individual profit rates to industry averages. The ongoing migration of capital across industries captures key elements of the classical competitive process and formation of long-period competitive prices as centres of gravity for the movement of market prices. The simulation approach allows for a detailed study of the range of exchange dynamics and allocation decisions that are consistent with the formation of classical competitive prices, and adds further detail to the received theory of the classical long-period equilibrium.

Original languageEnglish
Title of host publicationProceedings of the 2021 Conference of the Computational Social Science Society of the Americas
EditorsZining Yang, Elizabeth von Briesen
PublisherSpringer Science and Business Media B.V.
Pages152-163
Number of pages12
ISBN (Print)9783030961879
DOIs
StatePublished - 2022
EventAnnual conference of the Computational Social Science Society of the Americas, CSSSA 2021 - Virtual, Online
Duration: Nov 4 2021 → Nov 7 2021

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Conference

ConferenceAnnual conference of the Computational Social Science Society of the Americas, CSSSA 2021
CityVirtual, Online
Period11/4/21 → 11/7/21

ASJC Scopus Subject Areas

  • Applied Mathematics
  • Modeling and Simulation
  • Computer Science Applications

Keywords

  • Agent-based model
  • Classical competition
  • Computational simulation
  • Prices of production

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