Repeat Tourism in Uruguay: Modelling Truncated Distributions of Count Data

19 Pages Posted: 7 Mar 2012

See all articles by Juan Gabriel Brida

Juan Gabriel Brida

Universidad de la República

Juan Sebastián Pereyra

Universidad de la República - Facultad de Ciencias Económicas; El Colegio de México

Raffaele Scuderi

Kore University of Enna - School of Economics

Date Written: March 6, 2012

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

JEL Classification: L83, N76, C21

Suggested Citation

Brida, Juan Gabriel and Pereyra, Juan Sebastián and Pereyra, Juan Sebastián and Scuderi, Raffaele, Repeat Tourism in Uruguay: Modelling Truncated Distributions of Count Data (March 6, 2012). Available at SSRN: https://ssrn.com/abstract=2017087 or http://dx.doi.org/10.2139/ssrn.2017087

Juan Gabriel Brida

Universidad de la República ( email )

Av. 18 de Julio
Montevideo, 1968
Uruguay

Juan Sebastián Pereyra

El Colegio de México ( email )

Camino al Ajusco 20
México, D.F, 10740
Mexico

Universidad de la República - Facultad de Ciencias Económicas ( email )

Camino al Ajusco 20
México, D.F, 10740
Mexico

Raffaele Scuderi (Contact Author)

Kore University of Enna - School of Economics ( email )

Faculty of Economics and Law
Via delle Olimpiadi
Enna, Enna 94100
Italy

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