{"title":"Effects of the supply reduction in the peer-to-peer market for tourist accommodation on the housing market","authors":"B. Benítez‐Aurioles","doi":"10.17561/ree.n2.2023.7827","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to analyse the relationship between the supply of peer-to-peer accommodation and the housing market. Using data from Barcelona between 2018 and 2021 we take the variation in Airbnb density in neighbourhoods induced by the COVID-19 pandemic as a natural experiment and observe its effect on rents and housing prices. According to these estimates, using a feasible generalized least squares (FGLS) under a Differences-in-Differences (DiD) framework, the reaction of prices to an exogenous COVID-19 shock that reduces Airbnb density in 1% is of 7% for rents and of 39% for purchase prices, which is significant and in line with model predictions and current research.","PeriodicalId":41443,"journal":{"name":"Revista de Estudios Empresariales-Segunda Epoca","volume":null,"pages":null},"PeriodicalIF":0.1000,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de Estudios Empresariales-Segunda Epoca","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17561/ree.n2.2023.7827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of this paper is to analyse the relationship between the supply of peer-to-peer accommodation and the housing market. Using data from Barcelona between 2018 and 2021 we take the variation in Airbnb density in neighbourhoods induced by the COVID-19 pandemic as a natural experiment and observe its effect on rents and housing prices. According to these estimates, using a feasible generalized least squares (FGLS) under a Differences-in-Differences (DiD) framework, the reaction of prices to an exogenous COVID-19 shock that reduces Airbnb density in 1% is of 7% for rents and of 39% for purchase prices, which is significant and in line with model predictions and current research.
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