This paper analyzes an evolutionary model where agents who are locally matched to play a general coordination game can adjust both their strategy and location. These decisions are subject to friction, so that an agent who migrates to a different location may be unable to adjust her strategy optimally to the new environment.
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Paper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number
354.96.
Find related papers by JEL classification: C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2003.
"Endogenous Networks in Random Population Games,"
LEM Papers Series
2003/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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