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Analysing Wine Demand With Artificial Neural Networks

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Author Info
Gerolimetto, M.
Mauracher, C.
Procidano, I.
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.

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Publisher Info
Paper provided by European Association of Agricultural Economists in its series 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark with number 24753.

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Date of creation: 2005
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Handle: RePEc:ags:eaae05:24753

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Related research
Keywords: artificial neural networks; demand analysis; wine; elasticity; Demand and Price Analysis; C14; C21; Q11; Q13;

References listed on IDEAS
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  1. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  2. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June. [Downloadable!] (restricted)
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This page was last updated on 2009-12-26.

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