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Convenient estimators for the panel probit model: Further results

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  • William Greene

Abstract

Bertschek and Lechner (1998) propose several variants of a GMM estimator based on the period specific regression functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the possibly excessive amount of time involved in maximum simulated likelihood estimation. But, for applications of the size considered in their study, full likelihood estimation is actually straightforward, and resort to GMM estimation for convenience is unnecessary. In this note, we reconsider maximum likelihood based estimation of their panel probit model then examine some extensions which can exploit the heterogeneity contained in their panel data set. Empirical results are obtained using the data set employed in the earlier study. Copyright Springer-Verlag 2004

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Bibliographic Info

Paper provided by New York University, Leonard N. Stern School of Business, Department of Economics in its series Working Papers with number 02-06.

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Date of creation: 2002
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Handle: RePEc:ste:nystbu:02-06

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Postal: New York University, Leonard N. Stern School of Business, Department of Economics, 44 West 4th Street, New York, NY 10012-1126
Phone: (212) 998-0860
Fax: (212) 995-4218
Web page: http://w4.stern.nyu.edu/economics/
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Cited by:
  1. Hyytinen, Ari & Pajarinen, Mika, 2004. "Opacity of Young Firms: Faith or Fact?," Discussion Papers 923, The Research Institute of the Finnish Economy.
  2. Udo Schneider & Volker Ulrich, 2008. "The physician-patient relationship revisited: the patient’s view," International Journal of Health Care Finance and Economics, Springer, vol. 8(4), pages 279-300, December.
  3. Belderbos, Rene & Carree, Martin & Diederen, Bert & Lokshin, Boris & Veugelers, Reinhilde, 2004. "Heterogeneity in R&D cooperation strategies," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1237-1263, November.
  4. Federica Liberini, 2014. "Corporate Taxes and the Growth of the Firm," KOF Working papers 14-354, KOF Swiss Economic Institute, ETH Zurich.
  5. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Leibniz Universität Hannover dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  6. Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Economics Working Papers 2007,11, Christian-Albrechts-University of Kiel, Department of Economics.
  7. Martin Burda & Roman Liesenfeld & Jean-Francois Richard, 2008. "Bayesian Analysis of a Probit Panel Data Model with Unobserved Individual Heterogeneity and Autocorrelated Errors," Working Papers tecipa-321, University of Toronto, Department of Economics.
  8. Aßmann, Christian & Boysen-Hogrefe, Jens, 2011. "A Bayesian approach to model-based clustering for binary panel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 261-279, January.
  9. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2007. "The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models," CIRANO Working Papers 2007s-06, CIRANO.
  10. Mohnen, Pierre & Raymond, Wladimir & Palm, Franz & Schim van der Loeff, Sybrand, 2007. "The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models," MERIT Working Papers 007, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  11. Zhiyang Jia, 2005. "Spousal Influence on Early Retirement Behavior," Discussion Papers 406, Research Department of Statistics Norway.
  12. Silja Göhlmann & Christoph M. Schmidt & Harald Tauchmann, 2010. "Smoking initiation in Germany: the role of intergenerational transmission," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 227-242.
  13. Olaf Hübler, 2006. "Multilevel and nonlinear panel data models," AStA Advances in Statistical Analysis, Springer, vol. 90(1), pages 121-136, March.
  14. Liberini, Federica, 2014. "Corporate Taxes and the Growth of the Firm," The Warwick Economics Research Paper Series (TWERPS) 1042, University of Warwick, Department of Economics.
  15. Díaz Serrano, Luis & Stoyanova, Alexandrina Petrova, 2009. "Mobility and Housing Satisfaction: An Empirical Analysis for Twelve EU Countries," Working Papers 2072/42895, Universitat Rovira i Virgili, Department of Economics.

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