Lectures
Intro ’Metrics, Spring 2025
| Week | Date | Topic | Slides without Details | Slides with Details |
|---|---|---|---|---|
| 1 | 2/20 | Introduction to Econometrics and Data Science | Lec0 | Lec0 |
| 2 | 2/27 | Causal inference and RCTs | Lec1 | Lec1 |
| 3 | 3/6 | Simple OLS Regression Estimation | Lec2 | Lec2 |
| 4 | 3/13 | Multiple OLS Regression Estimation | Lec3 | Lec3 |
| 5 | 3/20 | Hypothesis Tests and Confidence Intervals | Lec4 | Lec4 |
| 6 | 3/27 | Nonlinear Regression: Function Forms | Lec5 | Lec5 |
| 7 | 4/3 | Nonlinear Regression: Binary and Multinomial Dependent Variables | Lec6 | Lec6 |
| 8 | 4/10 | Assessing Studies: Internal Validity(I) | Lec7 | Lec7 |
| 9 | 4/17 | Assessing Studies: Internal Validity(II) | Lec8 | Lec8 |
| 10 | 4/24 | Matching | Lec9 | Lec9 |
| 11 | 5/1 | NO Class | ||
| 12 | 5/8 | Instrumental Variable | ||
| 13 | 5/15 | Regression Discontinuity Design | ||
| 14 | 5/22 | Panel Data(I): Fixed Effect | ||
| 15 | 5/29 | Panel Data(II): Difference-in-Differences | ||
| 16 | 6/5 | Final Review |