讲座标题

Estimating Nonseparable Selection Models: A Functional Contraction Approach

主讲人

吴凡

北京大学汇丰商学院

主讲人介绍

吴凡博士现任北京大学汇丰商学院助理教授。他于2025年于加州理工学院获经济学博士学位。他的研究领域为微观理论、产业组织和计量经济学，研究成果有两篇发表于Journal of Economic Theory，一篇在Review of Economic Studies正式接收forthcoming。

讲座内容简介

Abstract: We propose a novel method for estimating nonseparable selection models. We show that, given the selection rule and the observed selected outcome distribution, the potential outcome distribution can be characterized as the fixed point of an operator, which we prove to be a functional contraction. We propose a two-step semiparametric maximum likelihood estimator to estimate the selection model and the potential outcome distribution. The consistency and asymptotic normality of the estimator are established. Our approach performs well in Monte Carlo simulations and is applicable in a variety of empirical settings where only a selected sample of outcomes is observed. Examples include consumer demand models with only transaction prices, auctions with incomplete bid data, and Roy models with data on accepted wages.

This is a theory paper with econometrics application.

讲座时间

2025年11月4日 周二14:00-15:30

讲座地点

中央财经大学学院南路校区学术会堂606

主持人

尹训东 创新发展学院副教授

主办

创新发展学院

撰稿：吴凡

审稿：汪雄剑、尹训东

编辑：沈嘉怡

审核：王颖