Emergent Cities: A Microeconomic Explanation for Zipf's Law
Robert Axtell and Richard Florida
Authors registered in the RePEc Author Service: Robert L. Axtell
No 154, Computing in Economics and Finance 2001 from Society for Computational Economics
Abstract:
A model of city formation and evolution is elaborated, based on a multi-agent model of endogenous firm formation. Agents have heterogeneous abilities, are boundedly rational, and interact directly with one another out of equilibrium in team production environments. Each agent works in a firm and each firm has a location. Agents periodically search for positions in other firms that would give them higher utility. Moves between firms are migrations when they involve changes in location. Agents can also start-up new firms if it is welfare-improving to do so. With high probability the location of a new firm is identical with the current location of its founder. However, there is a small chance that a new firm starts up in a different location, with the new location chosen at random. This makes it possible for new cities to occasionally emerge. Over time the movement of individuals across firms combines with the movement of firms across locations to yield clusters of agents and firms in particular locations, i.e., cities. It is demonstrated that under a wide range of conditions these locational clusters reproduce the so-called ÎZipf lawÌ for city sizes, i.e., a Pareto-distribution with exponent 1. This model also yields empirically-significant wage-city size effects, city growth rate distributions, and dependence of city growth rate variance on size. Apparently, this model constitutes the first microeconomic explanation of these phenomena.
Keywords: city formation; Zipf's law; agent-based model (search for similar items in EconPapers)
JEL-codes: C0 D0 L0 R0 (search for similar items in EconPapers)
Date: 2001-04-01
References: Add references at CitEc
Citations: View citations in EconPapers (9)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf1:154
Access Statistics for this paper
More papers in Computing in Economics and Finance 2001 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().