many models postulate a continuum of agents of finitely many different types who are repeatedly randomly matched in pairs to conform certain activities (e.g. play a game) which may in turn make their types change. The random matching process is usually left unspecified , and some law of large Numbers is informally invoked to justify a deterministic approximation of the resulting stochastic system. Nevertheless, it is well-known that such "law of large numbers" may not hold in the framework. This work shows that there exist random matching processes over a continuum of agents satisfying properties which are sufficient to simplify the analysis of the stochastic system.
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Paper provided by Washington St. Louis - School of Business and Political Economy in its series Papers with number
9801.
Find related papers by JEL classification: C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
References listed on IDEAS 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.:
Akihiko Matsui & Kiminori Matsuyama, 1990.
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Akihiko Matsui & Kiminori Matsuyama, 1991.
"An Approach to Equilibrium Selection,"
Discussion Papers
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[Downloadable!]
Itzhak Gilboa & Akihiko Matsui, 1990.
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Discussion Papers
887, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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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.)
repec:bep:theadv:v:4:y:2004:i:1:p:1157-1157 is not listed on IDEAS
Francesco Squintani, 1999.
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Discussion Papers
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