no code implementations • 8 May 2024 • Yeon-Koo Che, Jinwoo Kim, Konrad Mierendorff
We study law enforcement guided by data-informed predictions of "hot spots" for likely criminal offenses.
no code implementations • 30 Aug 2022 • 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.
no code implementations • 1 Jul 2021 • Philippe Jehiel, Konrad Mierendorff
We introduce a model of novice bidders who do not know know the joint distribution of signals and instead build a statistical model relating others' bids to their own ex post value from the data sets accessible from past similar auctions.
no code implementations • 16 Mar 2020 • 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 commit to their future actions.
