Determinants of Airbnb prices in European cities: A spatial econometrics approach (Supplementary Material)

This repository contains supplementary materials for the article: <strong>Determinants of Airbnb prices in European cities: A spatial econometrics approach</strong> <strong>Datasets</strong> For each city two files are provided: data for weekday and weekend offers The columns are as following: realSum: the full price of accommodation for two people and two nights in EUR room_type: the type of the accommodation room_shared: dummy variable for shared rooms room_private: dummy variable for private rooms person_capacity: the maximum number of guests host_is_superhost: dummy variable for superhost status multi: dummy variable if the listing belongs to hosts with 2-4 offers biz: dummy variable if the listing belongs to hosts with more than 4 offers cleanliness_rating: cleanliness rating guest_satisfaction_overall: overall rating of the listing bedrooms: number of bedrooms (0 for studios) dist: distance from city centre in km metro_dist: distance from nearest metro station in km attr_index: attraction index of the listing location attr_index_norm: normalised attraction index (0-100) rest_index: restaurant index of the listing location attr_index_norm: normalised restaurant index (0-100) lng: longitude of the listing location lat: latitude of the listing location