Data/hora: 06/06/2024 11:38:46

Provedor de dados: | 31
País: | United States
Título: | Italian Consumption of Wild and Farmed Fish: Demand and Elasticity Estimation
Autores: | Gerolimetto,   M.; Mauracher,   Christine; Procidano,   I.
Data: | 2009-12-28
Ano: | 2005
Palavras-chave: | Aquaculture; Artificial Neural Networks; Demand curve; Elasticity; Fish consumption; Food Consumption/Nutrition/Food Safety; Livestock Production/Industries; C14; C21; Q11; Q13.
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.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês
Identificador: | http://purl.umn.edu/56076
Relação: | European Association of Agricultural Economists&gt;95th Seminar, December 9-10, 2005, Civitavecchia, Italy
Formato: | 16