A count data model with endogenous household specific censoring: the number of nights to stay
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
Volume (Year): 35 (2008)
Issue (Month): 1 (August)
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- Hellström, Jörgen & Nordström, Jonas, 2005. "Demand and Welfare Effects in Recreational Travel Models: A Bivariate Count Data Approach," Umeå Economic Studies 648, Umeå University, Department of Economics.
- Winkelmann, Rainer, 2001.
"Health Care Reform and the Number of Doctor Visits - An Econometric Analysis,"
CEPR Discussion Papers
3021, C.E.P.R. Discussion Papers.
- 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.
- 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).
- Rainer Winkelmann, 2002. "Health Care Reform and the Number of Doctor Visits – An Econometric Analysis," SOI - Working Papers 0210, Socioeconomic Institute - University of Zurich.
- 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 MathÃ©matique et Applications
95.08, UniversitÃ© PanthÃ©on-Sorbonne (Paris 1).
- Crepon, Bruno & Duguet, Emmanuel, 1997. "Research and development, competition and innovation pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 355-378, August.
- Jeffrey T. LaFrance & W. Michael Hanemann, 1989.
"The Dual Structure of Incomplete Demand Systems,"
Monash Economics Working Papers
archive-21, Monash University, Department of Economics.
- 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.
- Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
- K. E. McConnell, 1992. "On-Site Time in the Demand for Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 918-925.
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