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A count data model with endogenous household specific censoring: the number of nights to stay

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  • Jörgen Hellström

    ()

  • Jonas Nordström

Abstract

In this paper a count data regression model accounting for endogenous censoring with household specific censoring thresholds is presented. The presented modelling approach is utilized in an analysis of household choice of total number of nights to spend on monthly recreational trips. The empirical study reveals that the suggested approach is feasible and that accounting for endogenous censoring gives a better fit to the data. Copyright Springer-Verlag 2008

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File URL: http://hdl.handle.net/10.1007/s00181-007-0155-0
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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 35 (2008)
Issue (Month): 1 (August)
Pages: 179-192

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Handle: RePEc:spr:empeco:v:35:y:2008:i:1:p:179-192

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Related research

Keywords: Endogenous censoring; Recreational trip demand; Count data; C15; C34; C35; C51; D12;

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  1. Winkelmann, Rainer, 2001. "Health Care Reform and the Number of Doctor Visits - An Econometric Analysis," IZA Discussion Papers 317, Institute for the Study of Labor (IZA).
  2. Jeffrey T. LaFrance & W. Michael Hanemann, 1989. "The Dual Structure of Incomplete Demand Systems," Development Research Unit Working Paper Series archive-21, Monash University, Department of Economics.
  3. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
  4. Crepon, B. & Duguet, E., 1995. "Research and Development, Competition and Innovation; Pseudo Maximum Likelihood and Simulated Maximum Likelihood Methods Applied to Count Data Models with Heterogeneity," Papiers d'Economie Mathématique et Applications 95.08, Université Panthéon-Sorbonne (Paris 1).
  5. Hellström, Jörgen & Nordström, Jonas, 2005. "Demand and Welfare Effects in Recreational Travel Models: A Bivariate Count Data Approach," UmeÃ¥ Economic Studies 648, Umeå University, Department of Economics.
  6. Terza, Joseph V., 1998. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects," Journal of Econometrics, Elsevier, vol. 84(1), pages 129-154, May.
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