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

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Author Info
Ibrahim Ahamada () (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Panthéon-Sorbonne - Paris I)
Emmanuel Flachaire () (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Panthéon-Sorbonne - Paris I)
Marion Lubat (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Panthéon-Sorbonne - Paris I)

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Abstract

Dans cette étude, nous estimons l'influence de certaines caractéristiques sur les prix des logements avec la méthode des prix hédoniques. Nous utilisons tout d'abord une approche classique, basée sur un modèle de régression paramétrique avec autocorrélation spatiale. Cette approche présente deux inconvénients : la forme fonctionnelle du modèle et la matrice de poids sont fixées a priori. Nous présentons une approche semi-paramétrique qui permet de pallier ces limites.

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File URL: http://halshs.archives-ouvertes.fr/docs/00/26/63/33/PDF/Ahamada_Flachaire_Lubat_06-1.pdf
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Publisher Info
Paper provided by HAL in its series Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) with number halshs-00266333_v1.

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Date of creation: 2007
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Publication status: Published, Economie publique, 2007, 20, 131-145
Handle: RePEc:hal:cesptp:halshs-00266333_v1

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Related research
Keywords: Modèle hédonique; semi-paramétrique; autocorrélationspatiale;

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