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学术前沿讲座——Difference-in-Differences in Applied Econometrics and Statistical Inferences

发布时间:2021-06-08访问量:13

报告题目

Difference-in-Differences in   Applied Econometrics and Statistical Inferences

报告人(单位)

Suojin Wang

Texas A&M University

点评人

(单位)

吴芃(东南大学)

时间和地点

202161510:00 腾讯会议:239 756 725

报告人简介

Dr. Suojin Wang is Associate Dean for Assessment   in the College of Science and a Professor of Statistics at Texas A&M   University. He received his Ph.D. from the University of Texas at Austin. His   research interests include semi- and non-parametric statistical methodology,   missing and mis-measured data analyses, asymptotic theory, sample surveys,   and applied statistics. He has over 170 peer-reviewed research publications,   many of which are in applied fields. He was the Editor-in-Chief of Journal of   Nonparametric Statistics during 2007-2012. He is an elected Fellow of the   American Statistical Association, an elected Fellow of the Institute of   Mathematical Statistics and an elected member of the International   Statistical Institute. He received four major teaching awards from Texas   A&M University, including the most prestigious University-level   Distinguished Achievement Award in Teaching.

报告内容提要

In this presentation, we will discuss the concept of   difference-in-differences (DID) and its wide applications in many fields,   such as applied econometrics, accounting, social sciences and government. We   will use two simple examples to illustrate the usefulness of DID and some   underlying assumptions needed for its valid applications. How to make sound   statistical inferences using DID will also be demonstrated in different   settings. This includes proper applications of bootstrap resampling   methodology to obtain statistical properties of DID. In addition, some   extensions of DID will be presented.


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