Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/76058
Title: Drivers of Airbnb prices according to property/room type, season and location: a regression approach
Authors: Voltes Dorta, Augusto 
Sánchez Medina, Agustín Jesús 
UNESCO Clasification: 531290 Economía sectorial: turismo
Keywords: Accommodation pricing
Airbnb
Sharing economy
Geographically-weighted regression
Issue Date: 2020
Journal: Journal of Hospitality and Tourism Management 
Abstract: While past studies on Airbnb pricing highlight the importance of room features, host characteristics and location factors, little has been investigated about whether these factors are the same across different property/room types, locations and seasons. To fill that gap, this paper presents a study about the drivers of Airbnb prices in Bristol using ordinary least squares (OLS) and geographically-weighted regression (GWR) methods. The esti-mated models exhibit sharply different levels of goodness-of-fit, suggesting that the prices of different room types might not be explained by the same set of price factors. The results also uncover statistically significant dif-ferences between the price determinants of apartments and house listings and reveal spatial patterns in the price effects. These findings have implications for price setting and the assessment of competition. Future studies should account for potential differences across property/room types, as well as to consider the spatial variability of the estimated coefficients.
URI: http://hdl.handle.net/10553/76058
ISSN: 1447-6770
DOI: 10.1016/j.jhtm.2020.08.015
Source: Journal of Hospitality and Tourism Management [ISSN 1447-6770], v. 45, p. 266-275, (Diciembre 2020)
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