Logit
7
Code Performance
Discrete Choice Model Estimation with R
Welcome
Introduction
1
Introduction
Logit
2
Drawing from Densities
3
Simulating from a Model
4
Maximum Likelihood Estimation
5
Optimization
6
Estimation
7
Code Performance
8
Bayesian Approach
Probit
9
Multinomial Probit
10
Nested Logit Model
11
GEV Logit
Mixed
12
Simulation-Assisted Estimation
13
Latent Class MNL Model
14
Mixed Logit Model
References
Appendices
A
Appendix
Logit
7
Code Performance
7
Code Performance
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6
Estimation
8
Bayesian Approach