no code implementations • 25 Sep 2023 • Yeon-Koo Che, Dong Woo Hahm, YingHua He
Inferring applicant preferences is fundamental in many analyses of school-choice data.
no code implementations • 28 Jul 2022 • Georgy Artemov, Yeon-Koo Che, YingHua He
Motivated by growing evidence of agents' mistakes in strategically simple environments, we propose a solution concept -- robust equilibrium -- that requires only an asymptotically optimal behavior.
no code implementations • 4 Jul 2021 • Julien Grenet, YingHua He, Dorothea Kübler
The matching literature often recommends market centralization under the assumption that agents know their own preferences and that their preferences are fixed.
no code implementations • 5 Apr 2021 • YingHua He, Shruti Sinha, Xiaoting Sun
Regardless of whether the market is centralized or decentralized, assuming that the observed matching is stable, we show nonparametric identification of preferences of both sides under certain exclusion restrictions.