A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

Lorenzo Masiero, Juan L. Nicolau, Chun Hung Roberts Law

Research output: Journal article publicationJournal articleAcademic researchpeer-review

51 Citations (Scopus)

Abstract

Tourist accommodation expenditure is a widely investigated topic as it represents a major contribution to the total tourist expenditure. The identification of the determinant factors is commonly based on supply-driven applications while little research has been made on important travel characteristics. This paper proposes a demand-driven analysis of tourist accommodation price by focusing on data generated from room bookings. The investigation focuses on modeling the relationship between key travel characteristics and the price paid to book the accommodation. To accommodate the distributional characteristics of the expenditure variable, the analysis is based on the estimation of a quantile regression model. The findings support the econometric approach used and enable the elaboration of relevant managerial implications.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalInternational Journal of Hospitality Management
Volume50
DOIs
Publication statusPublished - 1 Aug 2015

Keywords

  • Accommodation expenditure
  • Hotel booking
  • Quantile regression

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management
  • Strategy and Management

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