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Decentralized trade, random utility and the evolution of social welfare

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

We study decentralized trade processes in general exchange economies and house allocation problems with and without money. The processes are affected by persistent random shocks stemming from agents' maximization of random utility. By imposing structure on the utility noise term-logit distribution-one is able to calculate exactly the stationary distribution of the perturbed Markov process for any level of noise. We show that the stationary distribution places the largest probability on the maximizers of weighted sums of the agents' (intrinsic) utilities, and this probability tends to 1 as noise vanishes.

Original languageEnglish
Pages (from-to)328-338
Number of pages11
JournalJournal of Economic Theory
Volume140
Issue number1
DOIs
StatePublished - 1 May 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Decentralized trade
  • Exchange economies
  • Housing markets
  • Logit model
  • Long-run stochastic stability
  • Social welfare functions

ASJC Scopus subject areas

  • Economics and Econometrics

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