Vacation length choice : a dynamic mixed multinomial logit model

A.B. Grigolon, A.W.J. Borgers, A.D.A.M. Kemperman, H.J.P. Timmermans

Research output: Contribution to journalArticleAcademicpeer-review

59 Citations (Scopus)
9 Downloads (Pure)

Abstract

This paper uses panel data to develop and estimate a dynamic model of choice of the length of stay of a vacation, controlling for unobserved heterogeneity and state dependency. Length of stay options vary from short (1 to 3 nights), medium (4 to 9 nights) to long vacations (10 nights or more) and the decision not to go on vacation in a particular year. Independent variables include family lifecycle stage, income, month and lags of the dependent variable. Results indicate that long holidays are most strongly affected by trips made previously in the same year than medium and short vacations. In contrast, there is an increased need for a vacation when any medium or long trips were not yet made in the current year. Month-specific variables confirm that respondents have preferences for making leisure trips during the main holidays and warm seasons. The observed differences given the various lifecycle stages reflect imposed constraints given age and/or household composition that are typical of each particular group. Keywords: Vacation length, dynamic mixed multinomial logit model, panel data, state dependency
Original languageEnglish
Pages (from-to)158-167
Number of pages10
JournalTourism Management
Volume41
DOIs
Publication statusPublished - 2014

Fingerprint

Dive into the research topics of 'Vacation length choice : a dynamic mixed multinomial logit model'. Together they form a unique fingerprint.

Cite this