10 citations · 20 across the 4 of their papers we have counts for
5 papers
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…
Optimal Dynamic Allocation of Attention
Yeon-Koo Che, Konrad Mierendorff
We consider a decision maker (DM) who, before taking an action, seeks information by allocating her limited attention dynamically over different news sources that are biased toward…