Estimation
12
Bayesian Procedures
R Companion to Discrete Choice Methods with Simulation
Welcome
Introduction
1
Introduction
2
Properties of Discrete Choice Models
Behavioral Models
3
Logit
4
GEV
5
Probit
6
Mixed Logit
7
Variation on a Theme
8
Numerical Maximization
Estimation
9
Drawing from Densities
10
Simulation-Assisted Estimation
11
Individual-Level Parameters
12
Bayesian Procedures
13
Endogeneity
14
EM Algorithms
References
Appendices
A
Appendix
Estimation
12
Bayesian Procedures
12
Bayesian Procedures
add
11
Individual-Level Parameters
13
Endogeneity