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Extensions Of Hurdle Models For Overdispersed Count Data

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  • Helmut Farbmacher

Abstract

Hurdle models are frequently used to model count data. Recent developments in the count data literature make it possible to relax commonly imposed assumptions of these models. On the basis of these findings, two extensions of hurdle models that make popular specifications more flexible are developed. Both extensions nest the models that have been used so far, so they can be tested by appropriate parametric restrictions. An example from health economics illustrates the relevance of both model extensions. Copyright © 2012 John Wiley & Sons, Ltd.

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  • Helmut Farbmacher, 2013. "Extensions Of Hurdle Models For Overdispersed Count Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1398-1404, November.
    • Handle: RePEc:wly:hlthec:v:22:y:2013:i:11:p:1398-1404
    DOI: 10.1002/hec.2892
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    References listed on IDEAS

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    1. Hans Van Ophem, 2011. "The frequency of visiting a doctor: Is the decision to go independent of the frequency?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 872-879, August.
    2. Rainer Winkelmann, 2004. "Health care reform and the number of doctor visits-an econometric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 455-472.
    3. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    4. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    5. Thomas Bauer & Silja Göhlmann & Mathias Sinning, 2007. "Gender differences in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 895-909, September.
    6. Rainer Winkelmann, 2008. "Econometric Analysis of Count Data," Springer Books, Springer, edition 0, number 978-3-540-78389-3, March.
    7. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
    8. J. M. C. Santos Silva, 2003. "A note on the estimation of mixture models under endogenous sampling," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 46-52, June.
    9. Wong, Irene O.L. & Lindner, Michael J. & Cowling, Benjamin J. & Lau, Eric H.Y. & Lo, Su-Vui & Leung, Gabriel M., 2010. "Measuring moral hazard and adverse selection by propensity scoring in the mixed health care economy of Hong Kong," Health Policy, Elsevier, vol. 95(1), pages 24-35, April.
    10. Sisira Sarma & Wayne Simpson, 2006. "A microeconometric analysis of Canadian health care utilization," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 219-239, March.
    11. Winfried Pohlmeier & Volker Ulrich, 1995. "An Econometric Model of the Two-Part Decisionmaking Process in the Demand for Health Care," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 339-361.
    12. Geert Dhaene & J. M. C. Santos Silva, 2012. "Specification and testing of models estimated by quadrature," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 322-332, March.
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