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Prix des logements et autocorrélation spatiale : une approche semi-paramétrique

Author

Listed:
  • Ibrahim Ahamada

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Emmanuel Flachaire

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Marion Lubat

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this article, we use hedonic models to estimate house prices. We first consider a linear regression model with spatial autocorrelation. To use this parametric approach, we have to specify a priori a functional form and a weight matrix. We thus present a semiparametric approach.

Suggested Citation

  • Ibrahim Ahamada & Emmanuel Flachaire & Marion Lubat, 2007. "Prix des logements et autocorrélation spatiale : une approche semi-paramétrique," Post-Print halshs-00266333, HAL.
    • Handle: RePEc:hal:journl:halshs-00266333
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00266333
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    Cited by:

    1. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    2. Papon, Francis & Nguyen-Luong, Dany & Boucq, Elise, 2015. "Should any new light rail line provide real estate gains, or not? The case of the T3 line in Paris," Research in Transportation Economics, Elsevier, vol. 49(C), pages 43-54.
    3. Bénédicte Rulleau & Pierre-Alexandre Mahieu, 2012. "An overview of the landscape valuation studies conducted in France," Working Papers hal-00671540, HAL.

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