IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v18y1990i3p294-301.html
   My bibliography  Save this article

Atypicality and the Natural Vacancy Rate Hypothesis

Author

Listed:
  • G. Donald Jud
  • James Frew

Abstract

This paper formulates and tests a model of rent change based on the natural vacancy rate hypothesis. It incorporates the Haurin [6] hypothesis in which the natural rate for particular units is determined by their atypicality. Estimates of the model indicate a natural rate of 6.5%. However, the rate is shown to vary systematically across individual units: the more atypical an apartment unit, the higher the natural rate. Copyright American Real Estate and Urban Economics Association.

Suggested Citation

  • G. Donald Jud & James Frew, 1990. "Atypicality and the Natural Vacancy Rate Hypothesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(3), pages 294-301.
  • Handle: RePEc:bla:reesec:v:18:y:1990:i:3:p:294-301
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/1540-6229.00523
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

    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. Marcus Allen & Ronald Rutherford & Thomas Thomson, 2009. "Residential Asking Rents and Time on the Market," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 351-365, May.
    2. repec:ire:issued:v:20:n:04:2017:p:397-416 is not listed on IDEAS
    3. Rose Lai & Ko Wang & Jing Yang, 2007. "Stickiness of Rental Rates and Developers’ Option Exercise Strategies," The Journal of Real Estate Finance and Economics, Springer, vol. 34(1), pages 159-188, January.
    4. Forgionne, G. A., 1996. "Forecasting army housing supply with a DSS-delivered econometric model," Omega, Elsevier, vol. 24(5), pages 561-576, October.
    5. Francois Des Rosiers & Marius Theriault, 1996. "Rental Amenities and the Stability of Hedonic Prices: A Comparative Analysis of Five Market Segments," Journal of Real Estate Research, American Real Estate Society, vol. 12(1), pages 17-36.
    6. G. Donald Jud & John D. Benjamin & G. Stacy Sirmans, 1996. "What Do We Know about Apartments and Their Markets?," Journal of Real Estate Research, American Real Estate Society, vol. 11(3), pages 243-258.

    More about this item

    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:bla:reesec:v:18:y:1990:i:3:p:294-301. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/areueea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.