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Airbnb and rents: evidence from Berlin

Author

Listed:
  • Tomaso Duso

    (DIW Berlin - German Institute for Economic Research, DIW Berlin - Deutsches Institut für Wirtschaftsforschung, TUB - Technical University of Berlin / Technische Universität Berlin)

  • Claus Michelsen

    (DIW Berlin - Deutsches Institut für Wirtschaftsforschung, University of Potsdam = Universität Potsdam)

  • Maximilian Schäfer

    (DIW Berlin - Deutsches Institut für Wirtschaftsforschung, TUB - Technical University of Berlin / Technische Universität Berlin)

  • Kevin Ducbao Tran

    (DIW Berlin - Deutsches Institut für Wirtschaftsforschung, TUB - Technical University of Berlin / Technische Universität Berlin)

Abstract

Cities worldwide have regulated peer-to-peer short-term rental platforms claiming that those platforms remove apartments from the long-term housing market, causing an in- crease in rents. Establishing and quantifying such a causal link is, however, challenging. We investigate two policy changes in Berlin to first assess how effective they were in regulating Airbnb, the largest online peer-to-peer short-term rental platform. We document that the policy changes reduced the number of entire homes listed on Airbnb substantially, by eight to ten listings per square kilometer. In particular the introduction of limitations on the misuse of regular rental apartments as short-term accommodations, also strongly reduced the average number of days per year that Airbnb listings are available for booking. In a second step, we then use this policy-induced change in Airbnb supply to assess the impact of Airbnb on rents in the city. Our results suggest that each nearby apartment on Airbnb increases average monthly rents by at least seven cents per square meter. This effect is larger for Airbnb listings that are available for rent for a larger part of the year. Further analyses suggest some effect heterogeneity across the city. In particular, areas with lower Airbnb density tend to be affected more by additional Airbnb listings.

Suggested Citation

  • Tomaso Duso & Claus Michelsen & Maximilian Schäfer & Kevin Ducbao Tran, 2020. "Airbnb and rents: evidence from Berlin," Working Papers hal-04495637, HAL.
  • Handle: RePEc:hal:wpaper:hal-04495637
    DOI: 10.2139/ssrn.3676909
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    Cited by:

    1. is not listed on IDEAS
    2. Gert G. Wagner, 2021. "Polit-ökonomische Aspekte des Berichts zur Lage der Verbraucher:innen [Political-Economic Aspects of the Report on the Position of Consumers by the Advisory Council for Consumer Affairs (SVRV)]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(6), pages 473-480, June.
    3. Batalha, Mafalda & Gonçalves, Duarte & Peralta, Susana & Pereira dos Santos, João, 2022. "The virus that devastated tourism: The impact of covid-19 on the housing market," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    4. Gonçalves, Duarte & Peralta, Susana & Pereira dos Santos, João, 2022. "Short-Term Rental Bans and Housing Prices: Quasi-Experimental Evidence from Lisbon," IZA Discussion Papers 15706, Institute of Labor Economics (IZA).
    5. Calum Robertson & Sylvain Dejean & Raphaël Suire, 2023. "“Airbnb in the City”: assessing short-term rental regulation in Bordeaux," Post-Print hal-04123595, HAL.
    6. Maximilian Schäfer & Kevin Ducbao Tran, 2020. "Airbnb, Hotels, and Localized Competition," Discussion Papers of DIW Berlin 1889, DIW Berlin, German Institute for Economic Research.
    7. Mavropoulos, Antonios, 2021. "To rent or not to rent: A household finance perspective on Berlin's short-term rental regulation," IWH Discussion Papers 1/2021, Halle Institute for Economic Research (IWH).
    8. Jin, Ginger Zhe & Wagman, Liad & Zhong, Mengyi, 2024. "The effects of short-term rental regulation: Insights from Chicago," International Journal of Industrial Organization, Elsevier, vol. 96(C).

    More about this item

    Keywords

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    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
    • Z30 - Other Special Topics - - Tourism Economics - - - General

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