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International Journal of Hospitality Management
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Modeling hotel room pricing: A multi-country analysis

Authors: Sánchez Pérez, Manuel; Illescas Manzano, María Dolores; Martínez Puertas, Sergio;

Modeling hotel room pricing: A multi-country analysis

Abstract

In the current tourism landscape, pricing decisions reemerge as a key concern for hoteliers. This study examines the impact of specific factors associated with hotels, customers’ experience, and competition on hotel pricing in different countries. Certain features of market behavior can distort expected prices, such as asymmetric information, differences in hotel categorization, hotels spatial concentration or electronic word-of-mouth (eWOM). In order to understand the determinants of pricing and to obtain a complete characterization of them, the present study applies quantile regression to the prices of a sample of 3800 hotels located in France, Spain, Italy and the United Kingdom. Results show the heterogeneity of the effects of hotel category, country location, eWOM and hotel competitive intensity across different price levels. Also, hotels concentration proves to have a generally positive effect on price, confirming positive effects of spatial concentration.

Country
Spain
Related Organizations
Keywords

Marketing, Multi-country, Hospitality, Spatial analysis, Category, Hotels, Tourism, Europe, Quantile regression, eWOM, Pricing, Spatial concentration

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
Green