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