Spring, 1999
J. A. Herriges

1. March 3: Nonlinear Regression Models - Specification and Estimation
2. March 5: Nonlinear Regression Models - Properties and Testing
3. March 8: Nonspherical Disturbances and the Consequences for Least Squares
4. March 10: Generalized Least Squares
5. March 12: Feasible GLS/Heteroskedasticity
6. March 22: Estimation and Testing with Heteroskedastic Errors
7. March 24: Autocorrelated Errors
8. March 26: Estimation and Testing with Autocorrelated Errors
9. March 29: Combining Cross-Sectional and Time Series Data
10. March 31: Estimation and Inference with Time Series/Cross Sectional Data
11. April 2: The Seemingly Unrelated Regression Model
12. April 5: Introduction to Discrete/Limited Dependent Variable Models
13. April 7: Binary Choice Models
14. April 9: Estimation and Inference in Binary Choice Models
15. April 12: Ordered Multivariate Discrete Choice Models
16. April 14: Unordered Multivariate Discrete Choice Models
17. April 16: Truncated Variable Models
18. April 19: Censored Variable Models
19. April 21: Discrete/Continuous Models, Switching Regressions, and Count Data Models
20. April 23: Introduction to Specification Analysis
21. April 26: Discrete and Nonlinear Regressors
22. April 28: Omitted Variables and the Inclusion of Irrelevant Variables
23. April 30: Stochastic Regressors, IV Estimation, and Measurement Errors