Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29123
Title: A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings
Authors: Masiero, L 
Nicolau, JL
Law, R 
Keywords: Accommodation expenditure
Hotel booking
Quantile regression
Issue Date: 2015
Publisher: Pergamon Press
Source: International journal of hospitality management, 2015, v. 50, p. 1-8 How to cite?
Journal: International journal of hospitality management 
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.
URI: http://hdl.handle.net/10397/29123
ISSN: 0278-4319
EISSN: 1873-4693
DOI: 10.1016/j.ijhm.2015.06.009
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

12
Last Week
0
Last month
0
Citations as of Aug 9, 2018

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of Aug 14, 2018

Page view(s)

66
Last Week
0
Last month
Citations as of Aug 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.