IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa10p921.html
   My bibliography  Save this paper

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

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa10/ERSA2010finalpaper921.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hikaru Hasegawa & Kazuhiro Ueda & Kunie Mori, 2008. "Estimation of Engel Curves from Survey Data with Zero Expenditures," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 535-558, August.
    2. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    3. Nordström, Jonas & Thunström, Linda, 2009. "The impact of tax reforms designed to encourage healthier grain consumption," Journal of Health Economics, Elsevier, vol. 28(3), pages 622-634, May.
    4. Nachiketa Chattopadhyay & Amita Majumder & Dipankor Coondoo, 2009. "Demand Threshold, Zero Expenditure And Hierarchical Model Of Consumer Demand," Metroeconomica, Wiley Blackwell, vol. 60(1), pages 91-118, February.
    5. Brännlund, Runar & Nordström, Jonas, 2001. "Modelling Consumer Demand and Household Labour Supply: Welfare Effects of Increasing Carbon Taxes," Umeå Economic Studies 571, Umeå University, Department of Economics.
    6. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
    7. Härkänen, Tommi & Kotakorpi, Kaisa & Pietinen, Pirjo & Pirttilä, Jukka & Reinivuo, Heli & Suoniemi, Ilpo, 2014. "The welfare effects of health-based food tax policy," Food Policy, Elsevier, vol. 49(P1), pages 196-206.
    8. Nicholas Bardsley & Milena Büchs & Sylke V Schnepf, 2017. "Something from nothing: Estimating consumption rates using propensity scores, with application to emissions reduction policies," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-23, October.
    9. Jan Marvin Garbuszus & Notburga Ott & Sebastian Pehle & Martin Werding, 2021. "Income-dependent equivalence scales: A fresh look at German micro-data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 855-873, December.
    10. Javier García-Enríquez & Cruz A. Echevarría, 2018. "Demand for culture in Spain and the 2012 VAT rise," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 469-506, August.
    11. Richard J. Vyn & Getu Hailu, 2015. "Discount Usage and Price Discrimination for Pork Products in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 449-474, December.
    12. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, "undated". "Microsimulating the Effects of Household Energy Price Changes in Spain," Studies on the Spanish Economy 196, FEDEA.
    13. Perali, Carlo Federico & Cox, Thomas L., 1995. "Issues In Data Management Of Expenditure Surveys: An Example From The Colombian 1984-85 Urban Survey," Staff Papers 12683, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    14. Eakins, John, 2016. "An application of the double hurdle model to petrol and diesel household expenditures in Ireland," Transport Policy, Elsevier, vol. 47(C), pages 84-93.
    15. David Madden, 2000. "Relative Or Absolute Poverty Lines: A New Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(2), pages 181-199, June.
    16. C. Federico PERALI & Thomas L. COX, 1995. "Abstract Of Issues In Data Management Of Expenditure Surveys: An Example From The Colombian 1984-85 Urban Survey," Staff Papers 389, University of Wisconsin Madison, AAE.
    17. Panayiota Lyssiotou & Panos Pashardes, 2004. "Comparing the True Cost of Living Indices of Demographically Different Households," Bulletin of Economic Research, Wiley Blackwell, vol. 56(1), pages 21-39, January.
    18. Hisham S. El‐Osta, 2010. "Inequality decomposition of farm family living expenditures and the role of the life cycle," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(2), pages 245-266, August.
    19. A. Montini, 1999. "I consumi alimentari delle famiglie italiane: un modello per le decisioni di consumo extradomestico utilizzando i microdati di spesa familiare," Working Papers 364, Dipartimento Scienze Economiche, Universita' di Bologna.
    20. Nordström, Jonas & Thunström, Linda, 2011. "Can targeted food taxes and subsidies improve the diet? Distributional effects among income groups," Food Policy, Elsevier, vol. 36(2), pages 259-271, April.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa10p921. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.