10 citations · 20 across the 4 of their papers we have counts for
4 papers · 1 filter
Data-Driven Monitoring and Deterrence in a Changing Environment
Yeon-Koo Che, Jinwoo Kim, Konrad Mierendorff
We study a dynamic model in which a principal monitors agents based on historical data of infractions. This data informs when and at what intensity to monitor; the monitoring decis…
Prolonged Learning and Hasty Stopping: the Wald Problem with Ambiguity
Sarah Auster, Yeon-Koo Che, Konrad Mierendorff
This paper studies sequential information acquisition by an ambiguity-averse decision maker (DM), who decides how long to collect information before taking an irreversible action.…
Auction Design with Data-Driven Misspecifications
Philippe Jehiel, Konrad Mierendorff
We consider auction environments in which at the time of the auction bidders observe signals about their ex-post value. We introduce a model of novice bidders who do not know know…
Keeping the Listener Engaged: a Dynamic Model of Bayesian Persuasion
Yeon-Koo Che, Kyungmin Kim, Konrad Mierendorff
We consider a dynamic model of Bayesian persuasion in which information takes time and is costly for the sender to generate and for the receiver to process, and neither player can…