A model of random matching

Itzhak Gilboa*, Akihiko Matsui

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

This paper presents a model of random matching between individuals chosen from large populations. We assume that the populations and the set of encounters are infinite but countable and that the encounters are i.i.d. random variables. Furthermore, the probability distribution on individuals according to which they are chosen for each encounter is 'uniform', which also implies that it is only finitely additive. Although the probability measure which governs the whole matching process also fails to be (fully) sigma-additive, it still retains enough continuity properties to allow for the use of the law of large numbers. This, in turn, guarantees that the aggregate process will (almost surely) behave 'nicely', i.e., that there will be no aggregate uncertainty.

Original languageEnglish
Pages (from-to)185-197
Number of pages13
JournalJournal of Mathematical Economics
Volume21
Issue number2
DOIs
StatePublished - 1992
Externally publishedYes

Funding

FundersFunder number
National Science Foundation

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