Learning from Manipulable Signals
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Abstract
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DOI: 10.1257/aer.20211158
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Other versions of this item:
- Mehmet Ekmekci & Leandro Gorno & Lucas Maestri & Jian Sun & Dong Wei, 2020. "Learning from Manipulable Signals," Papers 2007.08762, arXiv.org, revised Jul 2021.
References listed on IDEAS
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- Alp E. Atakan & Mehmet Ekmekci, 2012.
"Reputation in Long-Run Relationships,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 451-480.
- Alp Atakan & Mehmet Ekmekci, 2009. "Reputation in Long-Run Relationships," Discussion Papers 1507, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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Cited by:
- Pei, Harry, 2022. "Reputation for playing mixed actions: A characterization theorem," Journal of Economic Theory, Elsevier, vol. 201(C).
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More about this item
JEL classification:
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
- M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
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