Lectures
Intro ’Metrics, Spring 2026
| Week | Date | Topic | Slides without Details | Slides with Details |
|---|---|---|---|---|
| 1 | 3/5 | Introduction to Econometrics and Data Science | Lec0 | |
| 2 | 3/12 | Causal inference and RCTs | Lec1 | Lec1 |
| 3 | 3/19 | Simple OLS Regression Estimation | Lec2 | |
| 4 | 3/26 | Multiple OLS Regression Estimation | ||
| 5 | 4/2 | Hypothesis Tests and Confidence Intervals | ||
| 6 | 4/9 | Nonlinear Regression: Function Forms | ||
| 7 | 4/16 | Nonlinear Regression: Binary and Multinomial Dependent Variables | ||
| 8 | 4/23 | Assessing Studies: Internal Validity(I) | ||
| 9 | 4/30 | Assessing Studies: Internal Validity(II) | ||
| 10 | 5/7 | No Class | ||
| 11 | 5/14 | Matching | ||
| 12 | 5/21 | Instrumental Variable | ||
| 13 | 5/28 | Regression Discontinuity Design | ||
| 14 | 6/4 | Panel Data(I): Fixed Effect | ||
| 15 | 6/11 | Panel Data(II): Difference-in-Differences | ||
| 16 | 6/18 | Final Review |