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	Provedor de dados AgEcon (2) Autor Dhuyvetter, Kevin C. (1) Jones, Rodney D. (1) Limsombunchai, Visit (1) Marsh, Thomas L. (1) Turner, Tyler (1) Palavra-chave Hedonic Model (2) Angus Bulls (1) Artificial Neural Network (ANN) (1) Birth Weight (1) C53 (1) Carcass (1) EPDs (1) Environmental Economics and Policy (1) House Price. (1) L74 (1) Land Economics/Use (1) Livestock Production/Industries (1) Research Methods/ Statistical Methods (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2004 (2) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última ESTIMATING THE ECONOMIC VALUES ASSOCIATED WITH EPDS FOR ANGUS BULLS AT AUCTION AgEcon Turner, Tyler; Dhuyvetter, Kevin C.; Marsh, Thomas L.; Jones, Rodney D.. The genetic traits that an Angus bull possesses convey the reproductive and economic value of the animal to potential buyers. This paper examines and draws comparisons between the value of actual production weights and production EPDs, while also establishing values for ultrasound EPDs. Results indicate that only one EPD, birth weight, was valued by buyers more than its corresponding actual weight, though actual weights and EPDs significantly impacted price. Ultrasound EPDs were also found to be significant, suggesting buyers of Angus bulls consider carcass information when purchasing bulls. Tipo: Conference Paper or Presentation Palavras-chave: Angus Bulls; Birth Weight; Carcass; EPDs; Hedonic Model; Livestock Production/Industries. Ano: 2004 URL: http://purl.umn.edu/36193 House Price Prediction: Hedonic Price Model vs. Artificial Neural Network AgEcon Limsombunchai, Visit. The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction. A sample of 200 houses in Christchurch, New Zealand is randomly selected from the Harcourt website. Factors including house size, house age, house type, number of bedrooms, number of bathrooms, number of garages, amenities around the house and geographical location are considered. Empirical results support the potential of artificial neural network on house price prediction, although previous studies have commented on its black box nature and achieved different conclusions. Tipo: Conference Paper or Presentation Palavras-chave: Hedonic Model; Artificial Neural Network (ANN); House Price.; Environmental Economics and Policy; Land Economics/Use; Research Methods/ Statistical Methods; C53; L74. Ano: 2004 URL: http://purl.umn.edu/97781 Registros recuperados: 2 Primeira ... 1 ... Última

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