Lectures
Intro ’Metrics, Spring 2025
| Week | Date | Topic | Slides |
|---|---|---|---|
| 1 | 2/20 | Introduction to Econometrics and Data Science | Lec0 |
| 2 | 2/27 | Causal inference and RCTs | |
| 3 | 3/6 | Simple OLS Regression Estimation | |
| 4 | 3/13 | Multiple OLS Regression Estimation | |
| 5 | 3/20 | Hypothesis Tests and Confidence Intervals | |
| 6 | 3/27 | Nonlinear Regression: Function Forms | |
| 7 | 4/3 | Nonlinear Regression: Binary Dependent Variable | |
| 8 | 4/10 | Assessing Studies: Internal Validity(I) | |
| 9 | 4/17 | Assessing Studies: Internal Validity(II) | |
| 10 | 4/24 | Matching | |
| 11 | 5/1 | NO Class | |
| 12 | 5/7 | Instrumental Variable | |
| 13 | 5/14 | Regression Discontinuity Design | |
| 14 | 5/21 | Panel Data(I): Fixed Effect | |
| 15 | 5/28 | Panel Data(II): Difference-in-Differences | |
| 16 | 6/4 | Final Review |