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Vacation Behaviour: Frequency, Destination Choice and Expenditure Level

Author

Listed:
  • Ruben Van Loon
  • Jan Rouwendal
  • Piet Rietveld
Abstract
For many countries, tourism has a large impact on GNP, and the number of people employed in the tourist or related industries is large. We explain the decision whether to go on vacation on not and how often, the choice of destination and the decision on the level of expenditure, using different micro-econometric models. From these estimations we calculate for example the income elasticities. We use the CVO (2008) cross-section dataset of Dutch households. On average a Dutch holidaymaker spends EURO 24.68 a day for a domestic vacation and EURO 60.62 per day for a foreign vacation. Further, we discuss relevant characteristics of the vacations like type and duration of the vacation, the valuation of the vacation and destination. And we will discuss the characteristics of the households such as its composition and location.

Suggested Citation

  • Ruben Van Loon & Jan Rouwendal & Piet Rietveld, 2011. "Vacation Behaviour: Frequency, Destination Choice and Expenditure Level," ERSA conference papers ersa10p921, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa10p921
    as

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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa10/ERSA2010finalpaper921.pdf
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    References listed on IDEAS

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    1. Melenberg, Bertrand & van Soest, Arthur, 1996. "Parametric and Semi-parametric Modelling of Vacation Expenditures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 59-76, Jan.-Feb..
    2. Kay, J. A. & Keen, M. J. & Morris, C. N., 1984. "Estimating consumption from expenditure data," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 169-181.
    3. Morey, Edward R, 1984. "The Choice of Ski Areas: Estimation of a Generalized CES Preference Ordering with Characteristics," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 584-590, November.
    4. Morey, Edward R., 1985. "Characteristics, consumer surplus, and new activities : A proposed ski area," Journal of Public Economics, Elsevier, vol. 26(2), pages 221-236, March.
    5. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    6. Keen, Michael, 1986. "Zero Expenditures and the Estimation of Engel Curves," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(3), pages 277-286, July.
    7. Deaton, Angus & Irish, Margaret, 1984. "Statistical models for zero expenditures in household budgets," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 59-80.
    8. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    9. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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