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

Author

Listed:
  • Des Rosier, F.
  • Theriault, M.

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. 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
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    Citations

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    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. Glumac, Brano & Herrera-Gomez, Marcos & Licheron, Julien, 2019. "A hedonic urban land price index," Land Use Policy, Elsevier, vol. 81(C), pages 802-812.
    4. Francois Des Rosiers & Antonio Lagana & Marius Theriault, 2001. "Size and proximity effects of primary schools on surrounding house values," Journal of Property Research, Taylor & Francis Journals, vol. 18(2), pages 149-168, January.
    5. GLUMAC Brano & HERRERA-GOMEZ Marcos & LICHERON Julien, 2018. "A residential land price index for Luxembourg: Dealing with the spatial dimension," LISER Working Paper Series 2018-07, Luxembourg Institute of Socio-Economic Research (LISER).
    6. Julie Le Gallo, 2000. "Spatial econometrics (2, Spatial heterogeneity) [Econométrie spatiale (2, Hétérogénéité spatiale)]," Working Papers hal-01526969, HAL.

    More about this item

    Keywords

    HOUSING ; MODELS;

    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

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