Abstract
In this paper we analyze pricing on a large online platform for short‐term rental housing Airbnb based on Moscow dataset in January 2021. We build a multiple regression model based on a hedonic price function. We identify the main price determinants and the features typical for the specified market. In addition, the results demonstrate the importance of applying quantile regression and geographically weighted regression for more detailed analysis of the determinants of short‐term rental prices.
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