Repeat tourism in Uruguay: modelling truncated distributions of count data

Juan Brida, Juan Sebastián Pereira and Raffaele Scuderi

MPRA Paper from University Library of Munich, Germany

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 present 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 suggest instead the use of a quantile count data regression, that is a model based on measures of location rather than mean values. A set of explanatory variables related to socioeconomic characteristics, features of the journey and composition of the travel party are considered.

Keywords: Repeat tourism; Uruguay; Quantile Regression; Count Data (search for similar items in EconPapers)
JEL-codes: C21 L83 N76 (search for similar items in EconPapers)
Date: 2012-03-06
New Economics Papers: this item is included in nep-tur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/37140/1/MPRA_paper_37140.pdf original version (application/pdf)

Related works:
Journal Article: Repeat tourism in Uruguay: modelling truncated distributions of count data (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:37140

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().