Econometrics is the application of statistical methods to economic data with the goal of examining relationships. This course introduces students to multiple regression methods for analyzing data. Extensions include regression with discrete random variables, instrumental variables regression, analysis of random experiments and quasi-experiments, and regression with time series data. The objective of the course is for the student to learn how to conduct – and how to critique – empirical studies in economics and related fields. Accordingly, the emphasis of the course is on empirical applications. Students should be familiar with basic concepts in probability theory and statistical inference.


Wooldridge, Introductory Econometrics, 5th edition. Find the pdf version here. The course covers one chapter per week, with deadlines on Sundays.

Course outline

  1. Basic tools – Wooldridge Appendix A

2. Probability – Wooldridge Appendix B

HW2 – doc

3. Econometrics and data – Wooldridge ch 1

4. Econometrics and data – Wooldridge Appendix C

5. Simple regression model– Wooldridge ch 2

6. Multiple regression estimation– Wooldridge ch 3

7. Hypothesis tests- Wooldridge ch 4

8. Fitting and predictions – Wooldridge ch 6 (skip 5)

9. Qualitative variables – Wooldridge ch 7

10. Heteroskedasticity – Wooldridge ch 8

11. Specification – Wooldridge ch 9

Further readings & resources