1: Introduction

2: Ways to Draw from a Density

3: Properties of Discrete Choice Models; Logit

4: Advantages and Limitations of Logit

5: Numerical Maximization

6: Continuation of Numerical Maximization

7: Nested Logit

8: Probit

9: Probit, Part 2

10: Mixed Logit

11: Estimation with Simulation

12: Halton Sequences, Preceded By a Continuation of Estimation With Simulation

13: Individual Specific Parameters

14: Hierarchical Bayes

15: Hierarchical Bayes, Part 2; Other Models

[此贴子已经被作者于2005-7-30 18:53:17编辑过]