Lecture Notes:

1. Math, Stats, and Mathstats Review

2. Simple Linear Regression

3. Multiple Regression:  Estimation

4. Multiple Regression:  Inference

5. Multiple Regression:  Asymptotics

6. Multiple Regression:  Further Issues

7. Multiple Regression with Qualitative Information

8. Heteroskedasticity

9. Specification and Data Issues

10. Regression with Time Series Data

11. Pooled Cross Sections and Simple Panel Data Methods

12. Carrying Out an Empirical Project