题目：The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics 

主讲人: Yingyao Hu (Professor of Economics, John Hopkins University)

时间：2017年10月24日（周二） 1：30 pm

地点：国际经管学院会议室（诚明楼三层）

主办方：国际经济管理学院

Abstract：

This paper reviews the recent developments in nonparametric identification of measurement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to an observed distribution. The identification and estimation of measurement error models focus on how to obtain the latent distribution and the measurement error distribution from the observed distribution. Such a framework is suitable for many microeconomic models with latent variables, such as models with unobserved heterogeneity or unobserved state variables and panel data models with fixed effects. Recent developments in measurement error models allow very flexible specification of the latent distribution and the measurement error distribution. These developments greatly broaden economic applications of measurement error models. This paper provides an accessible introduction of these technical results to empirical researchers so as to expand applications of measurement error models.

Biography

Professor Yingyao Hu is a professor of John Hopkins University, working mainly on econometrics, empirical industrial organization, and labor economics.  He serves as Fellow of the Journal of Econometrics since 2013. He has many papers published on top journals, including American Economic Review and Econometrica. For more information, please refer to his website: http://www.econ2.jhu.edu/People/Hu/.