The reading group will last for the whole semester, and will cover the following topics, mostly related to causal inference, or endogeneity problems in an OLS setting:
- Robust and clustered standard errors to achieve robust inference in an OLS model
- Instrumental variable approach to attack the endogeneity problems wide spread in OLS models
- Panel data with fixed effects to solve for the unobservable heterogeneity problem, an important source of endogeneity issues
- GMM approach for dynamic panels, where fixed effects lead to inconsistent estimates using OLS
- Difference-in-difference approach for policy evaluation or shock identification, one of the most popular method to overcome the endogeneity issues in recent years
- Regression discontinuity design, an equally popular method for endogeneity problems in recent years
- Quantile regression, especially useful to analyze inequality issues and uncover heterogeneous effects of explanatory variables
Contact me directly via Email, and the registration deadline is 9/16. The reading group is mainly for junior and fourth year undergraduates, seeking to write a summer camp paper or dissertation.
- Math: caculus, linear algebra, probability
- Stats: statistics, elementary econometrics (familiar with multi variable OLS estimation)
- Software: R, Stata
Each participant is required to contribute at least one presentation throughout the reading group
- 邱嘉平，《因果推断实用计量方法》，2020 (REQUIRED)
- Angrist and Pischke, Mostly Harmless Econometrics, 2009
Organizaiton and introduction
We meet every Thursday afternoon 2:00 – 4:30 pm in Big Data Institute (BDI). The first group meeting will take place on September 17th.
We will have 2 – 3 presentations each week. All participants need to present at least once to contribute to the reading group.
The following is a rough schedule:
- Presentations of own research by participants from the previous year, 2 – 3 weeks.
- Presentations by new participants (mostly first year graduates and third year undergraduates) on causal inference methodology, 4 – 5 weeks.
- Presentations by contribution, on research plans including the empirical questions, data, methodology, and most importantly, key references from the literature, 4 – 5 weeks.
- 9/17, introduction, and presentations of summer research by
- 9/24, presentations of summer research and undergraduate thesis by