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Autocorrélation spatiale et modèle de demande traitant des valeurs unitaires

Agenor Lahatte

Economie & Prévision, 2010, vol. n° 193, issue 2, 101-117

Abstract: We discuss the quantity and quality model proposed by Deaton (1987, 1988, 1990) for analyzing household demand from unit value data, with spatial structures of agents? decisions. A combination of Deaton?s methodology (1987, 1988, 1990) and Kelejian and Prucha?s procedure (1999) provides a method for estimating the spatial versions of Crawford, Laisney and Preston?s model (2003). However, this approach is problematic for identifying spatial parameters and requires spatial matrices with special structures. We conclude with a Monte Carlo study to illustrate the difficulties in estimating spatial autoregressions.

Keywords: household demand; unit value; spatial dependence/autocorrelation; interactions within and between spatial entities (search for similar items in EconPapers)
Date: 2010
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