Consulta: creatorFacets:"Gerolimetto,   M."
Registros recuperados: 2
Data/hora: 12/06/2024 03:41:10

Analysing Wine Demand With Artificial Neural Networks
Provedor de dados: 31
Autores: Gerolimetto,   M.; Mauracher,   Christine; Procidano,   I.
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
Palavras-chave: Artificial neural networks; Demand analysis; Wine; Elasticity; Demand and Price Analysis; C14; C21; Q11; Q13.
Ano: 2005
URL: http://purl.umn.edu/24753

Italian Consumption of Wild and Farmed Fish: Demand and Elasticity Estimation
Provedor de dados: 31
Autores: Gerolimetto,   M.; Mauracher,   Christine; Procidano,   I.
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
Palavras-chave: Aquaculture; Artificial Neural Networks; Demand curve; Elasticity; Fish consumption; Food Consumption/Nutrition/Food Safety; Livestock Production/Industries; C14; C21; Q11; Q13.
Ano: 2005
URL: http://purl.umn.edu/56076