Registro completo |
Provedor de dados: |
AgEcon
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País: |
United States
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Título: |
Italian Consumption of Wild and Farmed Fish: Demand and Elasticity Estimation
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Autores: |
Gerolimetto, M.
Mauracher, Christine
Procidano, I.
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Data: |
2009-12-28
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Ano: |
2005
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Palavras-chave: |
Aquaculture
Artificial Neural Networks
Demand curve
Elasticity
Fish consumption
Food Consumption/Nutrition/Food Safety
Livestock Production/Industries
C14
C21
Q11
Q13
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Resumo: |
In this paper, we present an analysis of farmed and wild fish in Italy using microdot. Instead of estimating a traditional parametric model such as AIDS, we employ Artificial Neural Networks (ANNs) and evaluate elasticities using a method specific of the non-parametric framework. As input variables, we consider not only the traditional economic factors but also some socio-demographic ones.
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Tipo: |
Conference Paper or Presentation
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Idioma: |
Inglês
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Identificador: |
http://purl.umn.edu/56076
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Relação: |
European Association of Agricultural Economists>95th Seminar, December 9-10, 2005, Civitavecchia, Italy
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Formato: |
16
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