Bayesian analysis of the ordered probit model with endogenous selection

Journal of Econometrics

Volumn 143, Issue 2, 2008, Pages 334-348

  Munkin, Murat K ^a   Trivedi, Pravin K ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

Discontinuity regression; MCMC; Treatment effects

Indexed keywords

HOSPITALS; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS;

DISCONTINUITY REGRESSION; TREATMENT EFFECTS;

REGRESSION ANALYSIS;

EID: 39149084966     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2007.11.001     Document Type: Article

References (22)

1. Albert J.H., and Chib S. Bayesian analysis of binary and polychotomous response data. Journal of American Statistical Association 88 422 (1993) 669-679
2. Atherly A. Supplemental insurance: medicare's accidental stepchild. Medical are Research and Review 58 2 (2001) 131-161
3. Bunch D.S. Estimability in the multinomial probit model. Transportation Research B 25 (1991) 1-12
4. Card, D., Dobkin, C., Maestas, N., 2004. The impact of nearly universal insurance coverage on health care utilization and health: evidence from medicare. NBER Working Papers 10365, National Bureau of Economic Research, Inc.
5. Chib S., and Hamilton B.H. Bayesian analysis of cross-section and clustered data treatment models. Journal of Econometrics 97 (2000) 25-50
6. Cowles M.K. Accelerating Monte Carlo markov chain convergence for cumulative-link generalized linear models. Statistics and Computing 6 (1996) 101-111
7. Decker, S.L., Dushi, I., Deb, P., 2005. Medicare at 65: Does it level the playing field? Unpublished paper.
8. Fang, H., Keane M.P., Silverman, D., 2006. Sources of advantageous selection: evidence from the medigap insurance market. NBER Working Papers 12289, National Bureau of Economic Research, Inc.
9. Geweke J. Efficient simulation from the multivariate normal and student-t distributions subject to linear constraints. In: Keramidas E.M. (Ed). Computing Science and Statistics: Proceedings of the 23rd Symposium on the Interface (1991) 571-578
10. Geweke J. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In: Berger J.O., Bernardo J.M., Dawid A.P., and Smith A.F.M. (Eds). Bayesian Statistics vol. 4 (1992), Oxford University Press, Oxford 169-194
11. Geweke J. Getting it right: joint distribution tests of posterior simulators. Journal of the American Statistical Association 99 467 (2004) 799-804
12. Geweke J., Gowrisankaran G., and Town R.J. Bayesian inference for hospital quality in a selection model. Econometrica 71 4 (2003) 1215-1238
13. Goldman D.P., and Zissimopoulos J.M. High out-of-pocket health care spending by the elderly. Health Affairs 22 3 (2003) 194-202
14. Keane M.P. A note on identification in the multinomial probit model. Journal of Business and Economic Statistics 10 (1992) 193-200
15. Li M., and Tobias J. A bayesian analysis of treatment effects in an ordered potential outcomes model. In: Daniel M., Jeffrey S., and Ed V. (Eds). Advances in Econometrics vol. 21 (2006)
16. Lichtenberg F. The effects of medicare on health care utilization and outcomes. In: Garber A. (Ed). Frontiers in Health Policy Research (2002), MIT Press, Cambridge, MA
17. McCulloch R.E., Polson N.G., and Rossi P.E. A bayesian analysis of the multinomial probit model with fully identified parameters. Journal of Econometrics 99 (2000) 173-193
18. Munkin M.K., and Trivedi P.K. Bayesian analysis of self-selection model with multiple outcomes using simulation-based estimation: an application to the demand for healthcare. Journal of Econometrics 114 (2003) 197-220
19. Nandram B., and Chen M.-H. Reparameterizing the generalized linear model to accelerate gibbs sampler convergence. Journal of Statistical Computation and Simulation 54 (1996) 129-144
20. Poirier D.J., and Tobias J.L. On the predictive distributions of outcome gains in the presence of an unidentified parameter. Journal of Business and Economic Statistics 21 (2003) 258-268
21. Tanner M.A., and Wong W.H. The calculation of posterior distribution by data augmentation. Journal of American Statistical Association 82 (1987) 528-540
22. Verdinelli I., and Wasserman L. Computing bayes factors using a generalization of the savage-dickey density ratio. Journal of American Statistical Association 90 (1995) 614-618