Analyzing tourists’ length of stay at destinations with survival models: A constructive critique based on a case study

Christer Thrane

Tourism Management, 2012, vol. 33, issue 1, 126-132

Abstract: The statistical modeling of tourists’ length of stay at destinations is a topic that recently has received much attention from tourism scholars. In this regard, so-called “survival models” have been introduced as a means of studying how a set of independent variables explain variation in the number of days tourists spend at destinations. This paper provides a critical look at these studies. There are two main findings. (1) The various justifications offered for favoring the survival models over the traditional OLS regression do not hold up under closer scrutiny. (2) An empirical study shows that the OLS regression model describes the association between a set of independent variables and length of stay at least as effectively as a battery of survival models. In line with the principle of parsimony it is concluded that future studies on tourists’ length of stay should abandon survival models if they are conducted along similar lines as the ones to date.

Keywords: Survival analysis; Tourists; Length of stay; Segmentation (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (25)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:touman:v:33:y:2012:i:1:p:126-132

DOI: 10.1016/j.tourman.2011.02.011

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