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Analyzing Wine Demand with Artificial Neural Networks

Published online by Cambridge University Press:  08 June 2012

Margherita Gerolimetto ,
Christine Mauracher  and
Isabella Procidano
Margherita Gerolimetto
Affiliation:
Department of Statistics and Section of Agricultural Economics and Politics –Ca' Foscari University of Venice, E-mail:margherita.gerolimetto@unive.it
Christine Mauracher
Affiliation:
Department of Statistics and Section of Agricultural Economics and Politics –Ca' Foscari University of Venice, E-mail:maurache@unive.it
Isabella Procidano
Affiliation:
Department of Statistics and Section of Agricultural Economics and Politics –Ca' Foscari University of Venice, E-mail:isabella@unive.it
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Abstract

In this paper we analyse wine demand in Italy with microdata. Instead of estimating a parametric model, we study the demand following a non parametric approach by means of Artificial Neural Networks. The input set includes the usual economic variables (price and income) and some sociodemographic factors that are also shown to be relevant for demand analysis. We compute price elasticities using two different nonparametric procedures. (JEL Classification: C14, C21, Q11, Q13)

Type
Articles
Information
Journal of Wine Economics , Volume 3 , Issue 1 , Spring 2008 , pp. 30 - 50
Copyright
Copyright © American Association of Wine Economists 2008

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