IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v48y2014i1p475-491.html
   My bibliography  Save this article

Repeat tourism in Uruguay: modelling truncated distributions of count data

Author

Listed:
  • Juan Brida
  • Juan Pereyra
  • Raffaele Scuderi

Abstract

This paper studies the determinants of repeat visiting in Uruguay, where loyal visitors are a relevant part of the total. From a statistical point of view, the number of times a visitor has been to a place constitutes count data. In this regard available information on Uruguay presents relevant limitations. Count data is in fact reported only for those who visited the country up to five times, whereas records about the most frequent visitors are collapsed into one residual category. This implies that the classic models for count data such as Poisson or negative binomial cannot be put into consideration. The paper suggests instead modelling the available part of the empirical distribution through quantile count data regression. It is a model based on measures of location rather than mean values, which allows estimating tourists’ behaviour as the number of visits increases. A set of explanatory variables related to budgetary constraints, socioeconomic, trip-related and psychographic characteristics are taken as regressors to the considered count data. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Juan Brida & Juan Pereyra & Raffaele Scuderi, 2014. "Repeat tourism in Uruguay: modelling truncated distributions of count data," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 475-491, January.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:1:p:475-491
    DOI: 10.1007/s11135-012-9782-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-012-9782-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-012-9782-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alfonso Miranda, 2006. "QCOUNT: Stata program to fit quantile regression models for count data," Statistical Software Components S456714, Boston College Department of Economics, revised 08 Aug 2007.
    2. Machado, Jose A.F. & Silva, J. M. C. Santos, 2005. "Quantiles for Counts," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1226-1237, December.
    3. Campo-Martínez, Sara & Garau-Vadell, Joan B. & Martínez-Ruiz, María Pilar, 2010. "Factors influencing repeat visits to a destination: The influence of group composition," Tourism Management, Elsevier, vol. 31(6), pages 862-870.
    4. Roberto Martínez-Espiñeira & John B. Loomis & Joe Amoako-Tuffour & Joseph M. Hilbe, 2008. "Comparing Recreation Benefits from On-Site versus Household Surveys in Count Data Travel Cost Demand Models with Overdispersion," Tourism Economics, , vol. 14(3), pages 567-576, September.
    5. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
    6. A. Aksu, 2006. "Gap Analysis in Customer Loyalty: A Research in 5-Star Hotels in the Antalya Region of Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(2), pages 187-205, April.
    7. Assaker, Guy & Vinzi, Vincenzo Esposito & O’Connor, Peter, 2011. "Examining the effect of novelty seeking, satisfaction, and destination image on tourists’ return pattern: A two factor, non-linear latent growth model," Tourism Management, Elsevier, vol. 32(4), pages 890-901.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Faruk Urak & Nihat Küçük & Abdulbaki Bilgiç & Steven T Yen, 2023. "Modeling censored tourism expenditures in Turkey with non-normal and heteroscedastic errors: An application of the inverse hyperbolic sine double-hurdle model," Tourism Economics, , vol. 29(3), pages 718-741, May.
    2. Abbruzzo, Antonino & Brida, Juan Gabriel & Scuderi, Raffaele, 2014. "Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay," Tourism Management, Elsevier, vol. 43(C), pages 36-45.
    3. Juan Brida & Marta Disegna & Raffaele Scuderi, 2014. "The behaviour of repeat visitors to museums: review and empirical findings," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2817-2840, September.

    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. Juan Brida & Marta Disegna & Raffaele Scuderi, 2014. "The behaviour of repeat visitors to museums: review and empirical findings," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2817-2840, September.
    2. Moreira S & Pita Barros P, 2009. "Double coverage and demand for health care: Evidence from quantile regression," Health, Econometrics and Data Group (HEDG) Working Papers 09/21, HEDG, c/o Department of Economics, University of York.
    3. Schofield, Peter & Fallon, Paul, 2012. "Assessing the viability of university alumni as a repeat visitor market," Tourism Management, Elsevier, vol. 33(6), pages 1373-1384.
    4. Hwang, Syjung & Kim, Jina & Park, Eunil & Kwon, Sang Jib, 2020. "Who will be your next customer: A machine learning approach to customer return visits in airline services," Journal of Business Research, Elsevier, vol. 121(C), pages 121-126.
    5. Santos, Carlos, 2011. "The euro sovereign debt crisis, determinants of default probabilities and implied ratings in the CDS market: an econometric analysis," MPRA Paper 31341, University Library of Munich, Germany.
    6. Popp, David & Santen, Nidhi & Fisher-Vanden, Karen & Webster, Mort, 2013. "Technology variation vs. R&D uncertainty: What matters most for energy patent success?," Resource and Energy Economics, Elsevier, vol. 35(4), pages 505-533.
    7. Jun Kim Sang, 2016. "The structural relationships of destination image, awareness, uniqueness and destination loyalty in periurban ecotourism destination," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 7(3), pages 212-225, December.
    8. Almeida-Santana, Arminda & Moreno-Gil, Sergio, 2018. "Understanding tourism loyalty: Horizontal vs. destination loyalty," Tourism Management, Elsevier, vol. 65(C), pages 245-255.
    9. Raymundo M. Campos-Vázquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 23-54, November.
    10. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    11. Heineck, Guido & Süssmuth, Bernd, 2013. "A different look at Lenin’s legacy: Social capital and risk taking in the Two Germanies," Journal of Comparative Economics, Elsevier, vol. 41(3), pages 789-803.
    12. Hartarska, Valentina M. & Nadolnyak, Denis A., 2012. "Financing Constraints and Access to Credit in Post Crisis Environment: Evidence from New Farmers in Alabama," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124882, Agricultural and Applied Economics Association.
    13. Mark Carlson & Kris James Mitchener, 2009. "Branch Banking as a Device for Discipline: Competition and Bank Survivorship during the Great Depression," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 165-210, April.
    14. Anthony Briant & Pierre-Philippe Combes & Miren Lafourcade, 2014. "Product Complexity, Quality of Institutions and the Protrade Effect of Immigrants," The World Economy, Wiley Blackwell, vol. 37(1), pages 63-85, January.
    15. Dirk Czarnitzki & Hanna Hottenrott & Susanne Thorwarth, 2011. "Industrial research versus development investment: the implications of financial constraints," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(3), pages 527-544.
    16. Fossen, Frank M. & König, Johannes, 2015. "Public health insurance and entry into self-employment," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112934, Verein für Socialpolitik / German Economic Association.
    17. Liverpool-Tasie, Lenis Saweda, 2012. "Targeted Subsidies and Private Market Participation: An Assessment of Fertilizer Demand in Nigeria:," IFPRI discussion papers 1194, International Food Policy Research Institute (IFPRI).
    18. Tatiane Menezes & R. Silveira-Neto & Carlos Azzoni, 2012. "Demography and evolution of regional inequality," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(3), pages 643-655, December.
    19. Gedikoglu, Haluk & McCann, Laura M.J. & Artz, Georgeanne M., 2011. "Off-Farm Employment Effects on Adoption of Nutrient Management Practices," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-14, August.
    20. Frölich, Markus & Lechner, Michael, 2010. "Exploiting Regional Treatment Intensity for the Evaluation of Labor Market Policies," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1014-1029.

    More about this item

    Keywords

    Repeat tourism; Uruguay; Quantile regression; Count data;
    All these keywords.

    JEL classification:

    • N76 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Latin America; Caribbean
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:spr:qualqt:v:48:y:2014:i:1:p:475-491. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.