Data/hora: 10/06/2024 19:07:10

Provedor de dados: | 31
País: | United States
Título: | Analysing Wine Demand With Artificial Neural Networks
Autores: | Gerolimetto,   M.; Mauracher,   Christine; Procidano,   I.
Data: | 2005-09-26
Ano: | 2005
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.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês

Identificador:

17664

http://purl.umn.edu/24753

Editor: | AgEcon Search

Relação:

European Association of Agricultural Economists&gt;2005 International Congress, August 23-27, 2005, Copenhagen, Denmark

Contributed Paper

Formato:

16

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