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JWE-Articles
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Journal of Wine Economics Volume 3 | 2008 | No. 1
»
Analyzing Wine Demand with Artificial Neural Networks

Analyzing Wine Demand with Artificial Neural Networks

Margherita Gerolimetto, Christine Mauracher & Isabella Procidano
Pages: 30-50
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 socio-demographic factors that are also shown to be relevant for demand analysis. We compute price elasticities using two different nonparametric procedures.

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