RT Journal Article
T1 Hedonic price models with geographically weighted regression: An application to hospitality
A1 Soler-García, Ismael Pablo
A1 Gemar-Castillo, Germán
K1 Hostelería - Precios
AB The objective of this study was to propose and test a methodology that allow destination managers and hoteliersimprove the allocation of resources. For this purpose, this paper analysed the impact of both establishment (e.g.category, size and location) and assessment variables of services included in hotel room prices using hedonicprice regression and geographically weighted regression (GWR). The data were collected in the low season usingTripAdvisor and Google Maps for 57 hotels located in Malaga. Analyses showed that spatial correlation createsdifferent patterns of quality-value perceptions within the same city, which is an advance in the knowledge aboutthe hotel location decision–making processes and their implications on destination marketing. These competitivesubsystems cannot be detected with the use of ordinary least squares alone. Although the values extracted usinga hedonic price model are consistent with the previous literature, the presence of geographic variability in theestimated hedonic model coefficients might be misleading for some hotels. The fitting coefficient of the GWRconfirms the need to incorporate GWR into hedonic price models.
PB Elsevier
YR 2018
FD 2018
LK https://hdl.handle.net/10630/29571
UL https://hdl.handle.net/10630/29571
LA spa
NO Soler, I. P., & Gemar, G. (2018). Hedonic price models with geographically weighted regression: An application to hospitality. Journal of Destination Marketing & Management, 9, 126-137.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026