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Estimation of tobit-type models with individual specific effects

Author

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  • Bo Honore
  • Ekaterini Kyriazidou
  • J. L. Powell

Abstract

The aim of this paper is two-fold. First, we review recent estimators for censored regression and sample selection panel data models with unobservable individual specific effects, and show how the idea behind these estimators can be used to construct estimators for a variety of other Tobit-type models. The estimators presented in this paper are semiparametric, in the sense that they do not require the parametrization of the distribution of the unobservables. The second aim of the paper is to introduce a new class of estimators for the censored regression model. The advantage of the new estimators is that they can be applied under a stationarity assumption on the transitory error terms, which is weaker than the exchangeability assumption that is usually made in this literature. A similar generalization does not seem feasible for the estimators of the other models that are considered.

Suggested Citation

  • Bo Honore & Ekaterini Kyriazidou & J. L. Powell, 2000. "Estimation of tobit-type models with individual specific effects," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 341-366.
  • Handle: RePEc:taf:emetrv:v:19:y:2000:i:3:p:341-366
    DOI: 10.1080/07474930008800476
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    Cited by:

    1. Anna Christina D'Addio & Bo E. Honoré, "undated". "Duration Dependence and Timevarying Variables in Discrete Time Duration Models," Economics Working Papers 2002-13, Department of Economics and Business Economics, Aarhus University.
    2. Rettenmaier, Andrew J. & Wang, Zijun, 2006. "Persistence in Medicare reimbursements and personal medical accounts," Journal of Health Economics, Elsevier, vol. 25(1), pages 39-57, January.
    3. Munch, Jakob R. & Nguyen, Daniel X., 2014. "Decomposing firm-level sales variation," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 317-334.
    4. Maria Parisi & Alessandro Sembenelli, 2003. "Is Private R & D Spending Sensitive to Its Price? Empirical Evidence on Panel Data for Italy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(4), pages 357-377, December.
    5. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
    6. repec:sbe:breart:v:30:y:2010:i:2:a:3674 is not listed on IDEAS
    7. 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.
    8. Hongfei Zhu, 2009. "The Relationship Between Investment and Fund Raising: An Empirical study to Japanese Manufacturing Firms," Economics Bulletin, AccessEcon, vol. 29(1), pages 357-367.
    9. Lee, Myoung-jae, 2001. "First-difference estimator for panel censored-selection models," Economics Letters, Elsevier, vol. 70(1), pages 43-49, January.
    10. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    11. Badi Baltagi & Seuck Song, 2006. "Unbalanced panel data: A survey," Statistical Papers, Springer, vol. 47(4), pages 493-523, October.
    12. Mathieu Bunel, 2012. "Evaluer un dispositif sectoriel d’aide à l’emploi : L’exemple des hôtels cafés restaurants de 2004 à 2009," TEPP Research Report 2012-03, TEPP.
    13. Olaf Hübler, 2006. "Multilevel and nonlinear panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 121-136, March.
    14. Mathieu Bunel, 2012. "Évaluer un dispositif sectoriel d'aide à l'emploi : l'exemple des hôtels, cafés et restaurants de 2004 à 2009," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201223, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    15. Anastasia Semykina & Jeffrey M. Wooldridge, 2015. "Binary Response Panel Data Models with Sample Selection and Self Selection," Working Papers wp2015_05_01, Department of Economics, Florida State University.
    16. Michael R. Carter & Pedro Olinto, 2003. "Getting Institutions “Right” for Whom? Credit Constraints and the Impact of Property Rights on the Quantity and Composition of Investment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 173-186.
    17. Teplykh, Grigorii, 2015. "Drivers of innovation activity of manufacturing enterprises in Russia," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 83-110.
    18. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    19. Paul Frijters & Lisa Farrell & Michael A. Shields, 2002. "The Economic Motives For Child Allowances:Altruism, Exchange Or Value Of Independence?," Paul Frijters Discussion Papers 2002-3, School of Economics and Finance, Queensland University of Technology.
    20. Lee, Myoung-jae & Cho, Myeong-hyeon, 2002. "Validity of LSE for trimmed and differenced panel data due to absorbing attrition," Economics Letters, Elsevier, vol. 74(2), pages 251-256, January.

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