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1. (Sep 9 and Sep 12) Mathematical Review. Please read the appendix A and B of the book.

2. (Sep 14) The nature of econometrics and the modeling process. Download

3. (Sep 16) Two-variable regression analysis: some basic ideas. Download

4. (Sep 29) Two-variable regression analysis: Derivation of OLS estimators and some numerical properties.

5. (Sep 21-23) Two-variable regression analysis: Classical assumptions and Gauss-Markov Theorem. Download

6. (Sep 26) Two-variable regression analysis: Normality assumption.

7. Instruction for Eviews. Download

8. (Sep 28-Oct 05) Two-variable regression analysis: Interval estimation and Hypothesis Testing.

9. (Oct 07) Extensions of the Two-Variable Linear Regression Model.

10. (Oct 10) Hints for Computation application 1.

11. (Oct 12-Oct 19) Multiple Regression Analysis: The Problem of Estimation. Download

12. (Oct 21-Oct 28) Multiple Regression Analysis: The Problem of Inference.

13. (Oct 31-Nov 02) Multicollinearity.

14. (Nov 04-Nov 07) Regression on Dummy Variables.

15. (Nov 09-Nov 11) Heteroscedasticity.

16. (Nov 14-Nov 18) Autocorrelation.

17. (Nov 25) Thanksgiving break.

18. (Nov 21- Nov 28)Regression on Dummy dependent variable: The LPM, Logit, Probit, and Tobiy Models.

19. (Nov 31) Simultaneous -Equation Models.

20. (Dec 02- Dec 05) Identification Problem.

21. (Dec 07) Hints for Computation application 2.

22. (Dec 09- Dec14) Final review.