The trace restriction: An alternative identification strategy for the Bayesian multinomial probit model

Journal of Business and Economic Statistics

Volumn 30, Issue 3, 2012, Pages 404-410

  Burgette, Lane F ^a   Nordheim, Erik V ^b  

^a RAND CORPORATION   (United States)

^b University of Wisconsin   (United States)

Author keywords

Gibbs sampler; Marginal data augmentation; Prior distribution

Indexed keywords

EID: 84864229119     PISSN: 07350015     EISSN: 15372707     Source Type: Journal    
DOI: 10.1080/07350015.2012.680416     Document Type: Article

References (15)

1. Albert, J., and Chib, S. (1993), "Bayesian Analysis of Binary and Polychotomous Response Data, " Journal of the American Statistical Association, 88(422), 669-679. [404,405]
2. Harville, D. (2008), Matrix Algebra From a Statistician's Perspective, New York: Springer-Verlag. [406]
3. Imai, K., and van Dyk, D. (2005a), "A Bayesian Analysis of the Multinomial Probit Model Using Marginal Data Augmentation, " Journal of Econometrics, 124(2), 311-334. [404,405]
4. Imai, K., and van Dyk, D. (2005b), "MNP: R Package for Fitting the Multinomial Probit Model, " Journal of Statistical Software, 14(3), 1-32. [404,406]
5. Johnson, V. (1998), "A Coupling-Regeneration Scheme for Diagnosing Convergence in Markov Chain Monte Carlo Algorithms, " Journal of the American Statistical Association, 93(441), 238-248. [408]
6. McCulloch, R., Polson, N., and Rossi, P. (2000), "A Bayesian Analysis of the Multinomial Probit Model With Fully Identified Parameters, " Journal of Econometrics, 99(1), 173-193. [406,408]
7. McCulloch, R., and Rossi, P. (1994), "An Exact Likelihood Analysis of the Multinomial Probit Model, " Journal of Econometrics, 64(1), 207-240. [404,405,406]
8. McFadden, D. (1974), "The Measurement of Urban Travel Demand, " Journal of Public Economics, 3(4), 303-328. [405]
9. Meng, X., and van Dyk, D. (1997), "The EM Algorithm-an Old Folk-Song Sung to a Fast New Tune, " Journal of the Royal Statistical Society, Series B Methodologicals, 511-567. [405]
10. Robert, C., and Casella, G. (2004), Monte Carlo StatisticalMethods, NewYork: Springer-Verlag. [405]
11. Rossi, P., Allenby, G., and McCulloch, R. (2005), Bayesian Statistics and Marketing, Chichester: Wiley. [408]
12. Strachan, R., and Van Dijk, H. (2008), "Bayesian Averaging Over Many Dynamic Model Structures With Evidence on the Great Ratios and Liquidity Trap Risk, " Technical Report 08-096/4, Tinbergen Institute, Rotterdam The Netherlands. [410]
13. Tanner, M., and Wong, W. (1987), "The Calculation of Posterior Distributions by Data Augmentation, " Journal of the American Statistical Association, 82(398), 528-540. [405]
14. Train, K. (2003), Discrete Choice Methods With Simulation, Cambridge: Cambridge University Press. [404]
15. van Dyk, D. A. (2010), "Marginal Markov Chain Monte Carlo Methods, " Statistica Sinica, 20(4), 1423-1454. [405]