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Location, location and professionalization

A multilevel hedonic analysis of Airbnb listing prices and revenue

Bibliographic Data

ID7366790
AuthorsRobbin Deboosere, Danielle Kerrigan (0000-0002-5877-1698, corresponding author), David Wachsmuth (0000-0001-5689-9527), Ahmed El-Geneidy (0000-0002-0942-4016)
Year2019
Volume6
Issue1
Pages143-156
Publication date2019-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRegional Studies Regional Science (JOURNAL)
Journal identifiersISSN: 2168-1376 • E-ISSN: 2168-1376
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21681376.2019.1592699
OpenAlexW2928831860
LanguageEN
Citations received48
References cited37

Hedonic modelling techniques have frequently been used to examine real estate valuation, and they have recently started to be applied to short-term rental valuation. Relying on a web-scraped data set of all Airbnb transactions in New York City (NYC) between August 2014 and September 2016, this paper presents the first hedonic regression model of Airbnb to take into account neighbourhood effects and to predict both average price per night and revenue generated by each listing. The model demonstrates that locational factors – above all, transit accessibility to jobs – and neighbourhood variation have a large impact on both price per night and monthly revenue, and further reveals how professionalization of the short-term rental market is driving more revenue to a narrower segment of hosts. Further, the findings suggest that Airbnb hosts earn a significant premium by converting long-term housing in accessible residential neighbourhoods into de facto Airbnb hotels. This premium incentivizes landlords and hosts with properties in accessible neighbourhoods to replace long-term tenants with short-term guests, forcing those in search of housing to less accessible neighbourhoods

Business · Econometrics · Economics · Hedonic Pricing · Hedonic regression · Listing (finance · Neighbourhood (mathematics · Real estate · Renting · Revenue · Valuation (finance · Housing Market and Economics · Sharing Economy and Platforms · Transportation and Mobility Innovations · Finance

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Unique citing works48
Citations per year9,6
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 48

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