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A count data model with endogenous household specific censoring: the number of nights to stay
Authors:Jörgen Hellström  Jonas Nordström
Affiliation:1.Department of Economics,Ume? University,Ume?,Sweden;2.Institute of Food and Resource Economics,University of Copenhagen,Frederiksberg C,Denmark
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. For helpful comments on an earlier version of the paper we thank two anonymous referees.
Keywords:Endogenous censoring  Recreational trip demand  Count data
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