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

Research output: Contribution to journalArticle


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.


External organisations
  • Umeå University
  • University of Copenhagen
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Economics


  • Endogenous censoring, Recreational trip demand, Count data
Original languageEnglish
Pages (from-to)179-192
JournalEmpirical Economics
Issue number1
Publication statusPublished - 2008
Publication categoryResearch
Externally publishedYes