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

Ibrahim Ahamada (), Emmanuel Flachaire and Marion Lubat
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Ibrahim Ahamada: 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

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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.

Keywords: Hedonic Price; Semiparametric Econometrics.; Modèle hédonique; semi-paramétrique; autocorrélation spatiale (search for similar items in EconPapers)
Date: 2007
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00266333
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Citations: View citations in EconPapers (2)

Published in Economie publique : Etudes et recherches = Public economics, 2007, 20, pp.131-145

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Working Paper: Prix des logements et autocorrélation spatiale: une approche semi-paramétrique (2007)
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