Semiparametric Bayesian estimation of mixed count regression models
This paper develops semiparametric Bayesian estimation approach for Poisson regression models with unobserved heterogeneity of unknown density. This approach is computationally efficient and allows automatic adaptation of the approximating density to data during estimation. Simulations show the estimator performs well.
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- Koop, G. & Poirier, D., 2000.
"Bayesian Variants of Some Classical Semiparametric Regression Techniques,"
00-01-22, California Irvine - School of Social Sciences.
- Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
- Gary Koop & Dale J Poirer, 2001. "Bayesian Variants of Some classical Semiparametric Regression Techniques," ESE Discussion Papers 73, Edinburgh School of Economics, University of Edinburgh.
- Koop, Gary & Tobias, Justin L., 2006.
"Semiparametric Bayesian inference in smooth coefficient models,"
Journal of Econometrics,
Elsevier, vol. 134(1), pages 283-315, September.
- Gary Koop & Justin Tobias, 2003. "Semiparametric Bayesian inference in smooth coefficient models," Discussion Papers in Economics 04/18, Department of Economics, University of Leicester.
- Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
- Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984.
"Econometric Models for Count Data with an Application to the Patents-R&D Relationship,"
NBER Technical Working Papers
0017, National Bureau of Economic Research, Inc.
- Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July.
- Jim E. Griffin & Mark F.J. Steel, 2002.
"Semiparametric Bayesian Inference for Stochastic Frontier Models,"
0209001, EconWPA, revised 18 Sep 2002.
- Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
- Keisuke Hirano, 2002. "Semiparametric Bayesian Inference in Autoregressive Panel Data Models," Econometrica, Econometric Society, vol. 70(2), pages 781-799, March.
- Chib, Siddhartha & Hamilton, Barton H., 2002. "Semiparametric Bayes analysis of longitudinal data treatment models," Journal of Econometrics, Elsevier, vol. 110(1), pages 67-89, September.
- Markus Jochmann & Roberto Leon-Gonzalez, 2003.
"Estimating the Demand for Health Care with Panel Data: A Semiparametric Bayesian Approach,"
2003005, The University of Sheffield, Department of Economics, revised Oct 2003.
- Markus Jochmann & Roberto León-González, 2004. "Estimating the demand for health care with panel data: a semiparametric Bayesian approach," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1003-1014.
- Hasegawa, Hikaru & Kozumi, Hideo, 2003. "Estimation of Lorenz curves: a Bayesian nonparametric approach," Journal of Econometrics, Elsevier, vol. 115(2), pages 277-291, August.
- Gallant, A Ronald & Nychka, Douglas W, 1987. "Semi-nonparametric Maximum Likelihood Estimation," Econometrica, Econometric Society, vol. 55(2), pages 363-90, March.
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