Using machine learning to estimate the heterogeneous impact of Airbnb on house prices: Evidence from Corsica

IF 1.4 3区 经济学 Q3 ECONOMICS
Daniel Brunstein , Georges Casamatta , Sauveur Giannoni
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引用次数: 0

Abstract

This study investigates the influence of Airbnb on property prices in Corsica. Leveraging machine learning techniques, we obtain more robust results than those achieved with conventional methods and uncover heterogeneous effects of Airbnb on property values. Our analysis reveals that a 1% increase in Airbnb listings leads to an average 0.21% rise in house prices. Interestingly, this effect is more pronounced in economically less developed regions, such as inland municipalities and remote seaside resorts, compared to traditionally popular tourist destinations and urban areas.
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来源期刊
CiteScore
3.30
自引率
4.20%
发文量
35
期刊介绍: The Journal of Housing Economics provides a focal point for the publication of economic research related to housing and encourages papers that bring to bear careful analytical technique on important housing-related questions. The journal covers the broad spectrum of topics and approaches that constitute housing economics, including analysis of important public policy issues.
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