IDEAS home Printed from https://ideas.repec.org/p/bzn/wpaper/bemps10.html
   My bibliography  Save this paper

A multivariate nonlinear analysis of tourism expenditures

Author

Listed:
  • Marta Disegna

    () (Free University of Bolzano, School of Economics and Management.)

  • Fabrizio Durante

    () (Free University of Bolzano, School of Economics and Management.)

  • Enrico Foscolo

    () (Free University of Bolzano, School of Economics and Management.)

Abstract

Independence among different tourism expenditure categories is the most convenient hypothesis for modeling decision–making processes. Nevertheless, the best-suited framework would require dependence among expenditures in order to face individual budget and ordered choices. To this end we provide a new multivariate copula-based logit model with explanatory variables. We applied our tools to the expenditures of the foreign tourists visiting South–Tyrol (Northern Italy), and we underlined the need to go beyond usual independence assumption in order to get more realistic results. The obtained findings are useful for policy makers, marketing experts, and local government in order to know how visitors allocate their travel budget; moreover, they can been exploited to improve the touristic supply by means of ad–hoc promotions, advertising, touristic packages, and attractions.

Suggested Citation

  • Marta Disegna & Fabrizio Durante & Enrico Foscolo, 2013. "A multivariate nonlinear analysis of tourism expenditures," BEMPS - Bozen Economics & Management Paper Series BEMPS10, Faculty of Economics and Management at the Free University of Bozen.
  • Handle: RePEc:bzn:wpaper:bemps10
    as

    Download full text from publisher

    File URL: http://pro1.unibz.it/projects/economics/repec/bemps10.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hofert, Marius & Maechler, Martin, 2011. "Nested Archimedean Copulas Meet R: The nacopula Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 39(i09).
    2. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. repec:eee:touman:v:33:y:2012:i:6:p:1562-1573 is not listed on IDEAS
    5. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    6. Peter J. Danaher & Michael S. Smith, 2011. "Modeling Multivariate Distributions Using Copulas: Applications in Marketing," Marketing Science, INFORMS, vol. 30(1), pages 4-21, 01-02.
    7. Trivedi, Pravin K. & Zimmer, David M., 2007. "Copula Modeling: An Introduction for Practitioners," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(1), pages 1-111, April.
    8. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    9. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, December.
    10. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    11. Brida, Juan Gabriel & Scuderi, Raffaele, 2012. "Determinants of tourist expenditure: a review of microeconometric models," MPRA Paper 38468, University Library of Munich, Germany.
    12. Junyi Zhang & Lili Xu & Akimasa Fujiwara, 2012. "Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour," Transportation, Springer, pages 125-149.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Tourism expenditures; Copula; Foreign tourism; Spending behavior;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:bzn:wpaper:bemps10. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (F. Marta L. Di Lascio) or (Alessandro Fedele). General contact details of provider: http://edirc.repec.org/data/feubzit.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.