IDEAS home Printed from https://ideas.repec.org/a/bpj/germec/v26y2025i2p93-129n1002.html
   My bibliography  Save this article

The Impact of COVID-19 on Real Estate Markets in Germany

Author

Listed:
  • Beze Eyayaw

    (University of Duisburg, Essen, Germany)

  • Thiel Patrick

    (RWI and University of Duisburg, Essen, Germany)

Abstract

The COVID-19 pandemic has disrupted established urban patterns. The literature on the impact of the pandemic on the US housing market has shown a significant increase in the demand for suburban housing, resulting in a considerable increase in suburban prices compared to those in the city center (termed the “donut effect”). However, the German housing market did not experience such drastic changes. To examine price and rent adjustments during the pandemic, we analyze detailed housing data and find little evidence supporting the donut effect seen in the US. Apartment rents increase in suburban areas, while house prices do not change significantly. Examining the role of amenities, we find no explanation for price and rent differences between the central business district (CBD) and suburbs. The differences between the two markets may be attributed to cultural and structural distinctions. Our analysis, which includes data on population patterns and migration behavior, reveals that residents in Germany exhibit a slower-moving trend. Our findings remain robust across different settings and subsets of cities.

Suggested Citation

  • Beze Eyayaw & Thiel Patrick, 2025. "The Impact of COVID-19 on Real Estate Markets in Germany," German Economic Review, De Gruyter, vol. 26(2), pages 93-129.
  • Handle: RePEc:bpj:germec:v:26:y:2025:i:2:p:93-129:n:1002
    DOI: 10.1515/ger-2024-0049
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ger-2024-0049
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/ger-2024-0049?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    house prices; rent gradient; COVID-19; donut effect; amenities;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:germec:v:26:y:2025:i:2:p:93-129:n:1002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.