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Designing Efficient Mechanisms for Dynamic Bilateral Trading Games
Author(s) -
Susan Athey,
Ilya Segal
Publication year - 2007
Publication title -
american economic review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.936
H-Index - 297
eISSN - 1944-7981
pISSN - 0002-8282
DOI - 10.1257/aer.97.2.131
Subject(s) - economics , incentive compatibility , private information retrieval , mechanism design , incentive , microeconomics , mathematical economics , consumption (sociology) , bayesian probability , rational expectations , mechanism (biology) , bayesian game , econometrics , computer science , sequential game , game theory , artificial intelligence , social science , philosophy , computer security , epistemology , sociology
This paper studies the problem of allocating a good between two players in each period of an infinite-horizon game. The players' valuations in each period are private information, and the valuations change over time. We analyze two special cases for the dynamics of valuations: "serially correlated valuations," where players' valuations are exogenous but serially correlated; and "learning by doing," where a player's past consumption improves his current distribution of valuations, but his valuations are otherwise uncorrelated. We analyze conditions under which there exists an efficient, Bayesian incentive-compatible (BIC), individually rational (IR), budget-balanced (BB) mechanism, when the mechanism designer has commitment power. We consider

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