IDEAS home Printed from
   My bibliography  Save this paper

House Prices and Spatial Dependence : Towards an Integrated Procedure to Model Neighborhood


  • Des Rosier, F.
  • Theriault, M.


This paper deals with applying GIS and spatial statistics to hedonic modeling. More precisely, it looks at spatial autocorrelation and trend surface analysis (TSA) as devices that can be used to improve model performances. Empirical analysis is performed on the Charlesbourg 1986-87 bungalow (one-story, single-family detached unit) residential market segment. Charlesbourg is the third largest municipality in the Quebec Urban Community (QUC), with some 71 000 in population by 1991. Main findings first suggest that TSA may either be viewed as a proxy for, or a complement to, detailed neighborhood analysis. While best results are obtained using an array of space-related attributes, TSA proves to be an adequate, cost-efficient alternative to expensive data collection. Secondly, the study emphasizes the need for a strict analytical framework to be followed if any spurious conclusions about implicit prices are to be avoided.

Suggested Citation

  • Des Rosier, F. & Theriault, M., 1999. "House Prices and Spatial Dependence : Towards an Integrated Procedure to Model Neighborhood," Papers 99-002, Laval - Faculte des sciences de administration.
  • Handle: RePEc:fth:lavadm:99-002

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.


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

    Cited by:

    1. Julie Le Gallo, 2004. "Hétérogénéité spatiale. Principes et méthodes," Economie & Prévision, La Documentation Française, vol. 162(1), pages 151-172.
    2. Francois Des Rosiers & Marius Thériault & Paul-Y Villeneuve & Yan Kestens, 2001. "Isolating Spatial from A-spatial Components of Housing Attributes Using Kriging Techniques," ERES eres2001_149, European Real Estate Society (ERES).
    3. Julie Le Gallo, 2000. "Spatial econometrics (2, Spatial heterogeneity)
      [Econométrie spatiale (2, Hétérogénéité spatiale)]
      ," Working Papers hal-01526969, HAL.

    More about this item



    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand


    Access and download statistics


    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:fth:lavadm:99-002. 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: (Thomas Krichel). General contact details of provider: .

    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.