授课内容：计量经济学

          授 课 人：加拿大多伦多大学计量经济学领域中青年学者宛圆渊教授

          授课时间：2019年12月10日—14日

         授课地点：舜耕办公楼816

         主办单位：正规beat365-体育官网-365|体育亚洲官方入口-正版App Store

         授课对象：经济学研究生

         具体时间安排：

         12月10日 周二上午，1-4节

         12月11日 周三下午，5-8节

         12月12日 周四下午，5-8节

         12月13日 周五上午，1-4节

This econometrics seminar course will give a brief introduction to literature of partial identification. In particular, I will use examples from the program evaluation and the empirical industrial organization literature to show how the paradigm of partial identification is useful in relaxing modeling assumptions and providing more reliable inference. Other examples will be covered if time permits. After this seminar series, students are expected to understand the ideology of the partial identification and how it can be applied to empirical work.

 Part I: Basics of partial identification 

1. Introduction of the idea of partial identification

2. The development of partial identification literature in recent years

3. Advantages and challenges

Part II: Program evaluation under partial identification

1. Introduction of popular casual inference methods

2. The marginal treatment effect (MTE) framework

3. Validity of the identification assumptions

4. Partial identification of MTE under weaker assumptions

Part III: Estimating oligopoly entry models under partial identification

1. Two-by-two discrete choice games for modeling market entry competition

2. Parametric vs Semi-parametric model

3. Identification of the strategic interaction under unknown profit shock distribution

Part IV: Other examples of partial identification

1. Incomplete English-auction model

2. Partial identification in dynamic panel data model

3. Interval observed data