IDEAS home Printed from https://ideas.repec.org/a/eme/jpifpp/jpif-01-2017-0006.html
   My bibliography  Save this article

Exploring the determinants of liquidity with big data – market heterogeneity in German markets

Author

Listed:
  • Marcelo Cajias
  • Philipp Freudenreich

Abstract

Purpose - The purpose of this paper is to examine the market liquidity (time-on-market (TOM)) and its determinants, for rental dwellings in the largest seven German cities, with big data. Design/methodology/approach - The determinants of TOM are estimated with the Cox proportional hazards model. Hedonic characteristics, as well as socioeconomic and spatial variables, are combined with different fixed effects and controls for non-linearity, so as to maximise the explanatory power of the model. Findings - Higher asking rent and larger living space decrease the liquidity in all seven markets, while the age of a dwelling, the number of rooms and proximity to the city centre accelerate the letting process. For the other hedonic characteristics heterogeneous implications emerge. Practical implications - The findings are of interest for institutional and private landlords, as well as governmental organisations in charge of housing and urban development. Originality/value - This is the first paper to deal with the liquidity of rental dwellings in the seven most populated cities of Europe’s second largest rental market, by applying the Cox proportional hazards model with spatial gravity variables. Furthermore, the German rental market is of particular interest, as approximately 60 per cent of all rental dwellings are owned by private landlords and the German market is organised polycentrically.

Suggested Citation

  • Marcelo Cajias & Philipp Freudenreich, 2018. "Exploring the determinants of liquidity with big data – market heterogeneity in German markets," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 36(1), pages 3-18, February.
    • Handle: RePEc:eme:jpifpp:jpif-01-2017-0006
    DOI: 10.1108/JPIF-01-2017-0006
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JPIF-01-2017-0006/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/JPIF-01-2017-0006/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/JPIF-01-2017-0006?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich, 2020. "Exploring the determinants of real estate liquidity from an alternative perspective: censored quantile regression in real estate research," Journal of Business Economics, Springer, vol. 90(7), pages 1057-1086, August.
    2. Arkadiusz Kuświk & Łukasz Mach & Łukasz Mikołajczyk & Marian Drymluch, 2021. "The influence of characteristics of estate developer’s apartments on the chance of selling them," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 167-190.
    3. Bich Hong Nguyen Thi & Trong Hoai Nguyen & Thanh Hiep Truong, 2020. "The Role of Listing Price Strategies on the Probability of Selling a House: Evidence from Vietnam," Real Estate Management and Valuation, Sciendo, vol. 28(2), pages 63-75, June.
    4. Marcelo Cajias & Philipp Freudenreich & Anna Heller & Wolfgang Schaefers, 2018. "Censored Quantile Regressions and the Determinants of Real Estate Liquidity," ERES eres2018_203, European Real Estate Society (ERES).

    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:eme:jpifpp:jpif-01-2017-0006. 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: Emerald Support (email available below). General contact details of provider: .

    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.