Learning from manipulable signals

We study a dynamic stopping game between a principal and an agent. The agent is privately informed about his type. The principal learns about the agent’s type from a noisy performance measure, which can be manipulated by the agent via a costly and hidden action. We fully characterize the unique Mark...

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Bibliographic Details
Main Authors: EKMEKCI, Mehmet, GORNO, Leandrro, MAESTRI, Lucas, SUN, Jian, WEI, Dong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/7105
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8104/viewcontent/2007.08762.pdf
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Institution: Singapore Management University
Language: English
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