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

This repository contains supplementary materials for the article:

Determinants of Airbnb prices in European cities:  A spatial econometrics approach

Datasets

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