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Analysing Wine Demand With Artificial Neural Networks

Margherita Gerolimetto (), Christine Mauracher () and Isabella Procidano

No 24753, 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark from European Association of Agricultural Economists

Abstract: In this paper we analyse wine demand in Italy using microdata. Instead of estimating a traditional parametric model (like AIDS) we employed artificial neural networks (ANN) and evaluate the elasticities using two different methods, specific for the non parametric framework. We compared the performances of the two methods to estimate elasticities and put in evidence the relevance of some demographic variables together with the usual economic ones, explaining the consumer's behaviour.

Keywords: Demand; and; Price; Analysis (search for similar items in EconPapers)
Pages: 16
Date: 2005
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Journal Article: Analyzing Wine Demand with Artificial Neural Networks (2008) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:eaae05:24753

DOI: 10.22004/ag.econ.24753

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