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Analyzing Wine Demand with Artificial Neural Networks

Author

Listed:
  • Gerolimetto, Margherita
  • Mauracher, Christine
  • Procidano, Isabella

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)

Suggested Citation

  • Gerolimetto, Margherita & Mauracher, Christine & Procidano, Isabella, 2008. "Analyzing Wine Demand with Artificial Neural Networks," Journal of Wine Economics, Cambridge University Press, vol. 3(1), pages 30-50, April.
    • Handle: RePEc:cup:jwecon:v:3:y:2008:i:01:p:30-50_00
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    Cited by:

    1. Elena Vigan? & Gervasio Antonelli & Gian Italo Bischi & Fabio Tramontana, 2015. "Consumo e consumatori di prodotti alimentari nella societ? postmoderna," Economia agro-alimentare, FrancoAngeli Editore, vol. 17(1), pages 59-80.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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