Many models postulate a continuum of agents of finitely many different types who are repeatedly randomly matched in pairs to perform 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 onvoked to justify a deterministic approximation of the resulting stochastic system. Nevertheless, it is well known that such "laws of large numbers" may not hold in this framework.
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Paper provided by Valencia - Instituto de Investigaciones Economicas in its series Papers with number
98-08.
Find related papers by JEL classification: C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
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.
"An Approach to Equilibrium Selection,"
Discussion Papers
970, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
[Downloadable!]
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Akihiko Matsui & Kiminori Matsuyama, 1991.
"An Approach to Equilibrium Selection,"
Discussion Papers
1065, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
[Downloadable!]
Itzhak Gilboa & Akihiko Matsui, 1990.
"A Model of Random Matching,"
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.)
Francesco Squintani, 1999.
"Games with Small Forgetfulness,"
Discussion Papers
1273, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
[Downloadable!]