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Analysing Wine Demand With Artificial Neural Networks

Author

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  • Gerolimetto, M.
  • Mauracher, Christine
  • 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.

Suggested Citation

  • Gerolimetto, M. & Mauracher, Christine & Procidano, I., 2005. "Analysing Wine Demand With Artificial Neural Networks," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24753, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae05:24753
    DOI: 10.22004/ag.econ.24753
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    References listed on IDEAS

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    1. Heien, Dale & Durham, Cathy, 1991. "A Test of the Habit Formation Hypothesis Using Household Data," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 189-199, May.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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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.

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    More about this item

    Keywords

    Demand and Price Analysis;

    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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