Data/hora: 01/06/2024 13:44:19

Provedor de dados: 	31	
País: 	United States	
Título: 	EVALUATION OF ALTERNATIVE RISK SPECIFICATIONS IN FARM PROGRAMMING MODELS	
Autores: 	Ford,   Stephen A.; Ford,   Beth Pride; Spreen,   Thomas H.	
Data: 	2001-06-18	
Ano: 	1995	
Palavras-chave: 	Risk and Uncertainty.	
Resumo: 	The use of alternative probability density functions to specify risk in farm programming models is explored and compared to a traditional specification using historical data.  A method is described that compares risk efficient crop mixes using stochastic dominance techniques to examine impacts of different risk specifications on farm plans.  Results indicate that a traditional method using historical farm data is as efficient for risk averse producers as two other methods of incorporating risk in farm programming models when evaluated using second degree stochastic dominance.  Stochastic dominance with respect to a function further discriminates among the distributions, indicating that a density function based on the historic forecasting accuracy of the futures market results in a more risk-efficient crop mix for highly risk averse producers.  Results also illustrate the need to validate alternative risk specifications perceived as improvements to traditional methods.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	2884

http://purl.umn.edu/31458	
Editor: 	AgEcon Search	
Relação: 	Agricultural and Resource Economics Review&gt;Volume 24, Number 1, April 1995	
Formato: 	11

application/pdf