| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Analysing Wine Demand With Artificial Neural Networks
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| Autores: |
Gerolimetto, M.
Mauracher, Christine
Procidano, I.
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| Data: |
2005-09-26
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| Ano: |
2005
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| Palavras-chave: |
Artificial neural networks
Demand analysis
Wine
Elasticity
Demand and Price Analysis
C14
C21
Q11
Q13
|
| Resumo: |
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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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
|
| Identificador: |
17664
http://purl.umn.edu/24753
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| Editor: |
AgEcon Search
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| Relação: |
European Association of Agricultural Economists>2005 International Congress, August 23-27, 2005, Copenhagen, Denmark
Contributed Paper
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| Formato: |
16
application/pdf
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