Identification and Estimation in Many-to-one Two-sided Matching without Transfers

非转移效用下一对多匹配模型的识别与估计

时间：2022年4月6日（周三）10：00-11：30

参会方式：zoom会议（若有意参会，请发送姓名、学院至18701189960@163.com以获取会议链接，仅限北大师生）

主持人：（国发院）赵耀辉、李玲、刘国恩、雷晓燕、张丹丹、易君健
      （经院） 秦雪征、石菊、王耀璟、袁野、Kevin Devereux

主讲人：孙小婷（Simon Fraser University） 

论文摘要： 

In a setting of many-to-one two-sided matching with non-transferable utilities, e.g., college admissions, we study conditions under which preferences of both sides are identified with data on one single market. The main challenge is that every agent's actual choice set is unobservable to the researcher. Assuming that the observed matching is stable, we show nonparametric and semiparametric identification of preferences of both sides under appropriate exclusion restrictions. Our identification arguments are constructive and thus directly provide a semiparametric estimator. In Monte Carlo simulations, the estimator can perform well but suffers from the curse of dimensionality. We thus adopt a parametric model and estimate it by a Bayesian approach with a Gibbs sampler, which works well in simulations. Finally, we apply our method to school admissions in Chile and conduct a counterfactual analysis of an affirmative action policy.

主讲人简介：

Xiaoting Sun is an Assistant Professor at Simon Fraser University. She obtained her Ph.D. in Economics from the University of California, Los Angeles. Her primary research areas are econometrics, matching markets, and social interactions.