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A Bivariate Count Data Model for Household Tourism Demand

Author

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  • Hellström, Jörgen

    (Department of Economics, Umeå University)

Abstract

Households' choice of the number of leisure trips and the total number of overnight stays is empirically studied using Swedish tourism data. A bivariate hurdle approach separating the participation (to travel and stay the night or not) from the quantity (the number of trips and nights) decision is employed. The quantity decision is modelled with a bivariate mixed Poisson lognormal model allowing for both positive as well as negative correlation between count variables. The observed endogenous variables are drawn from a truncated density and estimation is pursued by simulated maximum likelihood. The estimation results indicate a negative correlation between the number of trips and nights. In most cases ownprice effects are as expected negative while estimates of cross-price effects vary between samples. A small policy study reveals that household's who travel (before and after the policy measure) substitute trips for nights as the travel cost increases.

Suggested Citation

  • Hellström, Jörgen, 2002. "A Bivariate Count Data Model for Household Tourism Demand," Umeå Economic Studies 583, Umeå University, Department of Economics.
    • Handle: RePEc:hhs:umnees:0583
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    Cited by:

    1. Joaquín Alegre & Llorenç Pou, 2006. "An Analysis of the Microeconomic Determinants of Travel Frequency," DEA Working Papers 18, Universitat de les Illes Balears, Departament d'Economía Aplicada.

    More about this item

    Keywords

    Integer-valued data; Bivariate hurdle model; Inflated counts; Truncation; Simulated maximum likelihood; Tourism demand.;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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