IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v31y2003i1p1-22.html
   My bibliography  Save this article

Marking Single-Family Property Values to Market

Author

Listed:
  • Thomas G. Thibodeau

Abstract

This paper is the text of the 2001 Presidential Address for the American Real Estate and Urban Economics Association. House price prediction accuracy is a function of: (1) the procedure used to identify within-metropolitan-area housing submarket boundaries, (2) the econometric technique used to estimate the parameters of the house price model and (3) the characteristics of the local housing market. This paper empirically examines several procedures for delineating within-metropolitan-area housing submarket boundaries. In addition, the paper examines the increase in prediction accuracy that can be achieved by employing spatial econometric techniques to spatially adjust ordinary least squares house price predictions. Finally, the paper examines the influence that local housing market characteristics have on house price prediction accuracy. Housing market characteristics examined here are: (1) structural characteristics of neighborhood properties, (2) heterogeneity of the neighborhood housing stock and (3) housing market liquidity. Prediction accuracy is examined using hedonic house price equations with over 40,000 single-family transactions for Dallas, Texas. Copyright 2003 American Real Estate and Urban Economics Association

Suggested Citation

  • Thomas G. Thibodeau, 2003. "Marking Single-Family Property Values to Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(1), pages 1-22, March.
  • Handle: RePEc:bla:reesec:v:31:y:2003:i:1:p:1-22
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/1540-6229.t01-2-00055
    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. Rainer Schulz & Martin Wersing & Axel Werwatz, 2014. "Automated valuation modelling: a specification exercise," Journal of Property Research, Taylor & Francis Journals, vol. 31(2), pages 131-153, June.
    2. James Hansen, 2006. "Australian House Prices: A Comparison of Hedonic and Repeat-sales Measures," RBA Research Discussion Papers rdp2006-03, Reserve Bank of Australia.
    3. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. David C. Wheeler & Antonio Páez & Jamie Spinney & Lance A. Waller, 2014. "A Bayesian approach to hedonic price analysis," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 663-683, August.
    5. Luca Stanca, 2008. "Le determinanti dei prezzi delle abitazioni: aspetti microeconomici," Working Papers 143, University of Milano-Bicocca, Department of Economics, revised Jul 2008.
    6. Patric H. Hendershott & Thomas G. Thibodeau & Halbert C. Smith, 2009. "Evolution of the American Real Estate and Urban Economics Association-super-1," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(4), pages 559-598.

    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:31:y:2003:i:1:p:1-22. 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.