Efficient Gibbs sampler for Bayesian analysis of a sample selection model
AbstractWe consider Bayesian estimation of a sample selection model and propose a highly efficient Gibbs sampler using the additional scale transformation step to speed up the convergence to the posterior distribution. Numerical examples are given to show the efficiency of our proposed sampler.
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Bibliographic InfoArticle provided by Elsevier in its journal Statistics & Probability Letters.
Volume (Year): 77 (2007)
Issue (Month): 12 (July)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description
Other versions of this item:
- Yasuhiro Omori, 2007. "Efficient Gibbs Sampler for Bayesian Analysis of a Sample Selection Model," CIRJE F-Series CIRJE-F-481, CIRJE, Faculty of Economics, University of Tokyo.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Chib, Siddhartha, 2001. "Markov chain Monte Carlo methods: computation and inference," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 57, pages 3569-3649 Elsevier.
- McCulloch, Robert E. & Polson, Nicholas G. & Rossi, Peter E., 2000. "A Bayesian analysis of the multinomial probit model with fully identified parameters," Journal of Econometrics, Elsevier, vol. 99(1), pages 173-193, November.
- Chib, Siddhartha, 2007. "Analysis of treatment response data without the joint distribution of potential outcomes," Journal of Econometrics, Elsevier, vol. 140(2), pages 401-412, October.
- Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99.
- Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
- Theo S Eicher & Lindy Helfman & Alex Lenkoski, 2011.
"Robust FDI Determinants: Bayesian Model Averaging In The Presence Of Selection Bias,"
UWEC-2011-07-FC, University of Washington, Department of Economics.
- Eicher, Theo S. & Helfman, Lindy & Lenkoski, Alex, 2012. "Robust FDI determinants: Bayesian Model Averaging in the presence of selection bias," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 637-651.
- Yasuhiro Omori & Koji Miyawaki, 2008.
"Tobit Model with Covariate Dependent Thresholds,"
CIRJE-F-594, CIRJE, Faculty of Economics, University of Tokyo.
- Alexander Jordan & Alex Lenkoski, 2012. "Tobit Bayesian Model Averaging and the Determinants of Foreign Direct Investment," Papers 1205.2501, arXiv.org.
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