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Building Routines: Learning, Cooperation, and the Dynamics of Incomplete Relational Contracts
Author(s) -
Sylvain Chassang
Publication year - 2010
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.100.1.448
Subject(s) - complete information , imperfect , microeconomics , perfect information , punishment (psychology) , path (computing) , economics , common knowledge (logic) , computer science , artificial intelligence , psychology , social psychology , linguistics , philosophy , multimodal logic , programming language , epistemic modal logic , description logic
This paper studies how agents with conflicting interests learn to cooperate when the details of cooperation are not common knowledge. It considers a repeated game in which one player has incomplete information about when and how her partner can provide benefits. Initially, monitoring is imperfect and cooperation requires inefficient punishment. As the players' common history grows, the uninformed player can learn to monitor her partner's actions, which allows players to establish more efficient cooperative routines. Because revealing information is costly, it may be optimal not to reveal all the existing information, and efficient equilibria can be path-dependent. (JEL C73, D82, D83, D86)

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