Estimating bidders’ risk aversion in auctions is a challeging problem because of identification issues. This paper takes advantage of bidding data from two auction designs to identify nonparametrically the bidders’ utility function within a private value framework. In particular, ascending...

Se considera la estimacion y la inferencia de vectores autorregresivos en panel (VAP) con efectos fijos cuando la dimension temporal del panel es finita y la dimension de corte transversal es grande. Se propone un estimador de maxima verosimilitud (MV), basado en una funcion de verosimilitud...

Chapter 1: Nonparametric Identification of Insurance Models with Multidimensional Screening (with Isabelle Perrigne and Quang Vuong)This chapter studies the identification of an insurance model with multidimensional screening, where insurees are characterized by risk and risk aversion. The model...