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

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Author Info

  • Des Rosiers, F.
  • Theriault, M.
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    Abstract

    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.

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    Bibliographic Info

    Paper provided by Laval - Faculte des sciences de administration in its series Papers with number 1999-2.

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    Length: 15 pages
    Date of creation: 1999
    Date of revision:
    Handle: RePEc:fth:lavadm:1999-2

    Contact details of provider:
    Postal: Canada; Universite Laval, Faculte des sciences de l'administration. Pavillon des sciences de l'administration. Universite laval, Quebec, Canada G1K 7P4
    Phone: (418) 656-2180
    Fax: (418)656-2624
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    Web page: http://www.fsa.ulaval.ca/
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    Related research

    Keywords: HOUSING ; PRICES ; ECONOMIC MODELS;

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    Cited by:
    1. François Des Rosiers & Marius Thériault & Yan Kestens & Paul Villeneuve, 2002. "Landscaping and House Values: An Empirical Investigation," Journal of Real Estate Research, American Real Estate Society, vol. 23(1/2), pages 139-162.
    2. LE GALLO, Julie, 2000. "Econométrie spatiale 2 -Hétérogénéité spatiale," LATEC - Document de travail - Economie (1991-2003) 2001-01, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.

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