| Topic |
Reading |
Videos |
| Course and Materials Introduction |
| Introductory Material |
Gujarati, various chapters
Mathematical Expecatation Practice |
1.1 Mathematical Expectation 1
1.2 Mathematical Expectation 2
1.3 Mathematical Expectation 3
1.4 Properties of Estimators 1
1.5 Properties of Estimators 2
1.6 Properties of Estimators 3
1.7 OLS Review 1
1.8 OLS Review 2
1.9 OLS Review 3 |
| Gauss Markov Theorem |
Gujarati, pp. 71-72 and Appendix 3A
My Sketch of the Proof |
2.1 Gauss Markov 1
2.2 Gauss Markov 2
2.3 Gauss Markov 3
2.4 Gauss Markov 4
2.5 Gauss Markov 5
2.6 Gauss Markov 6
2.7 Gauss Markov 7 |
| Heteroskedasticity |
Gujarati, Chapter 11 |
3.1 Heteroskedasticity 1
3.2 Heteroskedasticity 2
3.3 Heteroskedasticity 3
3.4 Heteroskedasticity 4
3.5 Heteroskedasticity 5
3.6 Heteroskedasticity 6
3.7 Heteroskedasticity 7
3.8 Heteroskedasticity 8
3.9 Heteroskedasticity 9
3.10 Heteroskedasticity 10 |
| Autocorrelation |
Gujarati, Chapter 12 |
4.1 Autocorrelation 1
4.2 Autocorrelation 2
4.3 Autocorrelation 3
4.4 Autocorrelation 4
4.5 Autocorrelation 5 |
| Endogeneity |
Gujarati, Chapters 18 - 20 |
5.1 Cov(EX) 1
5.2 Cov(EX) 2
5.3 Cov(EX) 3
5.4 Cov(EX) 4
5.5 Cov(EX) 5
5.6 Cov(EX) 6
5.7 Cov(EX) 7
5.8 Cov(EX) 8
5.9 Cov(EX) 9
5.10 Cov(EX) 10
5.11 Cov(EX) 11 |
| Panel Data |
Gujarati, Chapter 16 |
6.1 Panel 1
6.2 Panel 2
6.3 Panel 3
6.4 Panel 4
6.5 Panel 5
6.6 Panel 6
6.7 Panel 7 |
Maximum Likelihood &
Qualitative Response |
Gujarati, Chapters 4 and 15 |
7.1 ML 1
7.2 ML 2
7.3 ML 3
7.4 ML 4
7.5 ML 5
7.6 ML 6
7.7 ML 7
7.8 ML 8
7.9 ML 9
7.10 ML 10 |