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A bivariate count data model for household tourism demand

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  • Jörgen Hellström

    (Department of Economics, Umeå University, Sweden)

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 own price effects are as expected negative, while estimates of cross-price effects vary between samples. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Jörgen Hellström, 2006. "A bivariate count data model for household tourism demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 213-226.
    • Handle: RePEc:jae:japmet:v:21:y:2006:i:2:p:213-226
    DOI: 10.1002/jae.812
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    References listed on IDEAS

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    Cited by:

    1. Esther Martínez-García & Josep María Raya, 2009. "Determinantes de la demanda temporal de turismo: una aproximación microeconómica con un modelo de duración," Investigaciones Economicas, Fundación SEPI, vol. 33(2), pages 271-302, May.
    2. Wu, Lingling & Zhang, Junyi & Chikaraishi, Makoto, 2013. "Representing the influence of multiple social interactions on monthly tourism participation behavior," Tourism Management, Elsevier, vol. 36(C), pages 480-489.
    3. Chai Cheng, T., 2011. "Measuring the effects of removing subsidies for private insurance on public expenditure for health care," Health, Econometrics and Data Group (HEDG) Working Papers 11/32, HEDG, c/o Department of Economics, University of York.
    4. Gurmu, Shiferaw & Elder, John, 2008. "A bivariate zero-inflated count data regression model with unrestricted correlation," Economics Letters, Elsevier, vol. 100(2), pages 245-248, August.
    5. Chai Cheng, T & Vahid, F, 2010. "Demand for hospital care and private health insurance in a mixed publicprivate system: empirical evidence using a simultaneous equation modeling approach," Health, Econometrics and Data Group (HEDG) Working Papers 10/25, HEDG, c/o Department of Economics, University of York.
    6. JG. Brida & M. Meleddu & M. Pulina, 2011. "Museum visitors can be regarded as specific cultural tourists? A length of stay analysis," Working Paper CRENoS 201114, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    7. repec:ebl:ecbull:v:3:y:2007:i:11:p:1-10 is not listed on IDEAS
    8. Ibtisam Al Abri & Mariam Alkazemi & Waed Abdeljalil & Hala Al Harthi & Fatema Al Maqbali, 2023. "Attitudinal and Behavioral Loyalty: Do Psychological and Political Factors Matter in Tourism Development?," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    9. Shiferaw Gurmu & John Elder, 2007. "A simple bivariate count data regression model," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-10.

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