Airbnb analysis

Abstract

This thesis investigates the e ect of the COVID-19 pandemic on the Airbnb market in the Czech Republic. 10501 Prague listings were analysed using the method of cross-sectional logistic regression, and the key factors di erentiating the listings that remained active despite the pandemic were determined. The author indicates sixteen explanatory variables covering general information, location, space attributes and the professionality level and provides empirical evidence that the most negative influence factors were outside centre location and the accommodation types of shared and private rooms. The thesis informs on the post-pandemic situation of Airbnb market in Prague and provides a better understanding of the impact of COVID-19 on the platform. Keywords Airbnb, COVID-19, sharing ecnomy, logit

Tato práce se zab˝vá posouzním vlivu pandemie COVID-19 na Airbnb trh v eské Republice. 10501 praûsk˝ch nabídek bylo analyzováno metodou logit za- loûenou na standardní logistické kumulativní funkci, pomocí které byly ur eny prom nné, které m ly signifikantní vliv na to, zda nabídka z stala na platform Airbnb aktivní i po pandemii COVID-19. Tyto prom nné zahrnují jak obecné informace, tak informace ohledn typu Airbnb ubytování a úrove profesion- ality hosta. Autorka poskytuje empirické d kazy o tom, ûe öance setrvání na platform po pandemii nejvíc sniûovaly faktory - lokalita mimo centrum a typy ubytování sdílen˝ pokoj a soukrom˝ pokoj. Klí ová slova Airbnb, COVID-19, sdílená ekonomika, logit