IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Estimating the Need for Single Family Rehabilitation

  • Smith, Marc T.
  • Murray, Margaret S.
  • O'Dell, William
Registered author(s):

    Data availability has been an issue in tracking changes in the condition of housing at the neighborhood level. Census data are of limited use, and other methods are expensive, time-consuming, and subject to bias. This paper proposes a methodology that uses variables obtained from property assessor files to develop estimates of the condition of the housing stock. The property appraiser provides parcel level information on housing units. The measure developed, the ratio of market value to unit value new, can be used to estimate the quantity and degree of substandard housing in a community. This variable implicitly incorporates other variables thought to be important in the determination of housing condition including age, size, and tenure of the unit. This study is unique in that it establishes a single measure of housing quality, it is relatively simple to implement, and it relies on data that is easy to obtain.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://purl.umn.edu/132252
    Download Restriction: no

    Article provided by Mid-Continent Regional Science Association in its journal Journal of Regional Analysis and Policy.

    Volume (Year): 33 (2003)
    Issue (Month): 2 ()
    Pages:

    as
    in new window

    Handle: RePEc:ags:jrapmc:132252
    Contact details of provider: Web page: http://jrap-journal.org/index.htm

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Dean H. Gatzlaff & Richard K. Green & David C. Ling, 1997. "Cross-Tenure Differences in Home Maintenance and Appreciation," Land Economics, University of Wisconsin Press, vol. 73(3), pages 328-342.
    2. Katherine A. Kiel & Jeffrey E. Zabel, 1999. "The Accuracy of Owner-Provided House Values: The 1978-1991 American Housing Survey," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(2), pages 263-298.
    3. Amy S. Bogdon & Ayse Can, 1997. "Indicators of Local Housing Affordability: Comparative and Spatial Approaches," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(1), pages 43-80.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ags:jrapmc:132252. 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: (AgEcon Search)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.