Many economic models use a continuum of negligible agents to avoid considering one person's effect on aggregate characteristics of the economy. Along with a continuum of agents, these models often incorporate a sequence of independent shocks and random matchings. Despite frequent use of such models, there are still unsolved questions about their mathematical justification. In this paper we construct a discrete time framework, in which major desirable properties of idiosyncratic shocks and random matchings hold. In this framework the agent space constitutes a probability space, and the probability distribution for each agent is replaced by the population distribution. Unlike previous authors, we question the assumption of known identity - the location on the agent space. We assume that the agents only know their previous history - what had happened to them before, - but not their identity. The construction justifies the use of numerous dynamic models of idiosyncratic shocks and random matchings.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
7445.
Find related papers by JEL classification: C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information E00 - Macroeconomics and Monetary Economics - - General - - - General
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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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