TY - JOUR
T1 - Price and RevPAR determinants of Airbnb listings
T2 - Convergent and divergent evidence
AU - Sainaghi, Ruggero
AU - Abrate, Graziano
AU - Mauri, Aurelio
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/1
Y1 - 2021/1
N2 - This paper explores the performance determinants of Airbnb listings, analyzing three research questions. First, the study investigates the different effects generated by the antecedents on price and revenue; second, it ranks different groups of variables; third, it distinguishes between private rooms and entire homes or apartments. These research questions are addressed by analyzing Airbnb listings in Milan, a business city where the sharing economy is growing fast. In particular, the study will use the monthly data of all Airbnb listings in Milan recorded by AirDNA during the period from November 2014 to June 2019, which consists of 323,184 total observations. Some hedonic price models are calculated, adding the Shapley value approach. Empirical findings show some important differences between price and revenue determinants. Furthermore, listing type and size, along with location and seasonality, are by far the most important factors that explain performance differentials among Airbnb properties.
AB - This paper explores the performance determinants of Airbnb listings, analyzing three research questions. First, the study investigates the different effects generated by the antecedents on price and revenue; second, it ranks different groups of variables; third, it distinguishes between private rooms and entire homes or apartments. These research questions are addressed by analyzing Airbnb listings in Milan, a business city where the sharing economy is growing fast. In particular, the study will use the monthly data of all Airbnb listings in Milan recorded by AirDNA during the period from November 2014 to June 2019, which consists of 323,184 total observations. Some hedonic price models are calculated, adding the Shapley value approach. Empirical findings show some important differences between price and revenue determinants. Furthermore, listing type and size, along with location and seasonality, are by far the most important factors that explain performance differentials among Airbnb properties.
KW - Listing determinants
KW - Peer-to-peer accommodation platform
KW - Price
KW - RevPAR
KW - Shapley value
UR - http://www.scopus.com/inward/record.url?scp=85092624909&partnerID=8YFLogxK
U2 - 10.1016/j.ijhm.2020.102709
DO - 10.1016/j.ijhm.2020.102709
M3 - Article
SN - 0278-4319
VL - 92
JO - International Journal of Hospitality Management
JF - International Journal of Hospitality Management
M1 - 102709
ER -