Statistical modeling for some features of Airbnb activity
Contu, Giulia;Frigau, Luca
2020-01-01
Abstract
Airbnb is a platform where to rent tourist accommodations. The Airbnb activity is based on hosts. Every three months, Airbnb awards the best hosts with the badge of Superhost taking into account specific aspects such as the number of reservations, the cancellation policy, the response rate and the overall rating expressed by the guests. It is not clear what can really affect host performance and the probability of becoming a Superhost. The aim of this study is to comprehend which aspects can impact host activity and the achievement of Superhost badge. The analysis is realized considering Milan, which is one of the Italian most visited cities. Bivariate odds model and logistic model have been carried out to data. The results show the impact on host activity of specific aspects as, for instance, the number of reviews, the services provided and the role of the Superhost. Moreover, they evidence the relevance of the overall rating on the probability of becoming a Superhost.File | Dimensione | Formato | |
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