An exact likelihood analysis of the multinomial probit model

Journal of Econometrics

Volumn 64, Issue 1-2, 1994, Pages 207-240

  McCulloch, Robert ^a   Rossi, Peter E ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Bayesian analysis; Gibbs sampling; Multinomial probit model

Indexed keywords

EID: 43949158952     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/0304-4076(94)90064-7     Document Type: Article

References (40)

1. Bayesian analysis of binary and polychotomous data
2. Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models
3. Health, children, and elderly living arrangements: A multiperiod-multinomial probit model with unobserved heterogeneity and autocorrelated errors
4. Estimability in the multinomial probit model
5. Monte Carlo Bayesian methods for discrete regression models and categorial time series
6. Explaining the Gibbs sampler
7. Parameter estimability in the multinomial probit model
8. Sampling-based approaches to calculating marginal densities
9. Illustration of Bayesian inference in normal data models using Gibbs sampling
10. Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling
11. A single series from the Gibbs sampler provides a false sense of security
12. Inference from iterative simulation using multiple sequences
13. Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
14. Efficient simulation from the multivariate normal and Student-t distributions subject to linear constraints and the evaluation of constraint probabilities
15. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments
16. Discrete/continuous models of consumer demand
17. A conditional probit model for qualitative choice: Discrete decisions recognizing interdependence and heterogeneous preferences
18. Statistical models for analysis of discrete panel data
19. A computationally practical simulation estimator for panel data
20. Bayes estimates for the linear model
21. Quantitative methods for analyzing travel behavior of individuals: Some recent developments
22. A method of simulated moments for estimation of discrete response models without numerical integration
23. Comments on Tanner and Wong
24. A simple positive semi-definite heteroskedasticity and autocorrelation consistent covariance matrix
25. On the convergence of successive substitution sampling
26. The calculation of posterior distributions by data augmentation
27. A law of comparative judgement
28. Markov chains for exploring posterior distributions
29. Bayesian analysis of dichotomous quantal response models