Arbeitspapier
Quality signals on Airbnb: A hedonic regression approach
This study aims at identifying guests' willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an extensive dataset that was gathered in 2017 from Airbnb's website and encompasses listings from seven major German cities, namely Berlin, Munich, Hamburg, Cologne, Dresden, Stuttgart and Frankfurt am Main. Our results regarding tangible characteristics are mostly in line with expectations: Additional space and certain amenities increase the value of a listing. The same holds true for an accommodation's distance to the city center, although we find proof for a non-linear relationship. Results for trust-building factors on the other hand are mixed. While favorable review scores and membership duration have a positive effect on prices, we cannot establish such a relationship for 'superhost' and 'verified ID' badges. In contrast to other studies, which are, however, focused on the US, we cannot find price differences linked to hosts' gender or ethnicity. Using an extended data set that encompasses listings from 2007 to 2008, we furthermore construct hedonic price indices for all seven cities, which suggest supply shifts due to regulatory pressure.
- Sprache
-
Englisch
- Erschienen in
-
Series: Diskussionspapier ; No. 189
- Klassifikation
-
Wirtschaft
Production, Pricing, and Market Structure; Size Distribution of Firms
Transactional Relationships; Contracts and Reputation; Networks
Information and Internet Services; Computer Software
- Thema
-
airbnb
sharing economy
hedonic models
GLM
rental markets
price indices
real estate
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Löw, Franziska
Lüth, Hendrik
- Ereignis
-
Veröffentlichung
- (wer)
-
Helmut-Schmidt-Universität - Universität der Bundeswehr Hamburg, Fächergruppe Volkswirtschaftslehre
- (wo)
-
Hamburg
- (wann)
-
2021
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Löw, Franziska
- Lüth, Hendrik
- Helmut-Schmidt-Universität - Universität der Bundeswehr Hamburg, Fächergruppe Volkswirtschaftslehre
Entstanden
- 2021