Introducing Land Constraints to Macroeconomic Agent-Based Models

Jacob Kelter*, Uri Wilensky, Joseph Potvin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a macroeconomic agent-based model that incorporates land to constrain maximum agricultural production. The model contains three types of agents: firms, households, and land plots. Firms employ households to produce consumer goods which household then buy from firms. The maximum production of firms is limited by the area of land available to them. Varying the availability of land and investigating the results on unemployment, wage rates, firm turnover rates, profits, and inequality among households and firms shows that the interests of firms and households conflict regarding the ideal amount of land available for production.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 Conference of The Computational Social Science Society of the Americas -
EditorsZining Yang, Santiago Núñez-Corrales
PublisherSpringer Science and Business Media B.V.
Pages35-48
Number of pages14
ISBN (Print)9783031375521
DOIs
StatePublished - 2023
EventAnnual conference of the Computational Social Science Society of the Americas, CSSSA 2022 - Santa Fe, Mexico
Duration: Oct 27 2022Oct 30 2022

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 2022
Country/TerritoryMexico
CitySanta Fe
Period10/27/2210/30/22

Keywords

  • Agent-based modeling
  • Land
  • Macroeconomics

ASJC Scopus subject areas

  • Applied Mathematics
  • Modeling and Simulation
  • Computer Science Applications

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