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The End of the Sharing Economy? Impact of COVID-19 on Airbnb in Germany

Author

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  • Jennifer Gossen

    (Zeppelin University of Friedrichshafen, Friedrichshafen, Germany)

  • Fabian Reck

    (Zeppelin University of Friedrichshafen, Friedrichshafen, Germany)

Abstract

This paper analyzes the effect the COVID-19 pandemic is having on the sharing economy. We focus on hosts’ behavior in the German shared housing market and examine hosts’ adaption to the pandemic state. Using monthly data from January 2019 until December 2020 for the city of Berlin, we conduct a probit model regression analysis and investigate the influence of several Airbnb-listing-specific factors and unemployment on the probability of renting the Airbnb accommodation. Through this big data analysis, we find that hosts switch from short-term to long-term options and rent relatively more entire apartments than shared ones during the COVID-19 pandemic compared to the pre-pandemic state.

Suggested Citation

  • Jennifer Gossen & Fabian Reck, 2021. "The End of the Sharing Economy? Impact of COVID-19 on Airbnb in Germany," Economic Research Guardian, Weissberg Publishing, vol. 11(2), pages 255-269, December.
    • Handle: RePEc:wei:journl:v:11:y:2021:i:2:p:255-269
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    References listed on IDEAS

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    1. Sascha Kraus & Norat Roig-Tierno & Ricarda B. Bouncken, 2019. "Digital innovation and venturing: an introduction into the digitalization of entrepreneurship," Review of Managerial Science, Springer, vol. 13(3), pages 519-528, June.
    2. Karlsson, Martin & Nilsson, Therese & Pichler, Stefan, 2014. "The impact of the 1918 Spanish flu epidemic on economic performance in Sweden," Journal of Health Economics, Elsevier, vol. 36(C), pages 1-19.
    3. Škare, Marinko & Soriano, Domingo Riberio & Porada-Rochoń, Małgorzata, 2021. "Impact of COVID-19 on the travel and tourism industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    4. Klaus-Heiner Röhl & Joachim Ragnitz & Ulrich Walwei & Timo Wollmershäuser & Justus Haucap & Jarko Fidrmuc & Florian Horky & Philipp Reichle & Fabian Reck & Birgit Felden, 2021. "The Post-Covid-19 Economy: What Unexpected Traces Does the Crisis Leave Behind in Industries, Regions, and Structures?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 74(03), pages 03-25, March.
    5. Gerald Friedman, 2014. "Workers without employers: shadow corporations and the rise of the gig economy," Review of Keynesian Economics, Edward Elgar Publishing, vol. 2(2), pages 171-188, April.
    6. Arne Henningsen & Ott Toomet, 2011. "maxLik: A package for maximum likelihood estimation in R," Computational Statistics, Springer, vol. 26(3), pages 443-458, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Sharing Economy; COVID-19; Peer-to-Peer Accommodation; Big Data;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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