Data/hora: 16/06/2024 09:29:15

Provedor de dados: 	31	
País: 	United States	
Título: 	KANSAS WHEAT YIELD RISK MEASURES AND AGGREGATION: A META- ANALYSIS APPROACH	
Autores: 	Marra,   Michele C.; Schurle,   Bryan W.	
Data: 	2003-12-19	
Ano: 	1994	
Palavras-chave: 	Risk and Uncertainty.	
Resumo: 	A meta-analysis approach to prediction of farm level yield risk from county level yield series is applied to Kansas wheat yields.  A nonlinear relationship between county level and farm level yield risk is found, which indicates that yield risk increases at an increasing rate as the number of acres in the risk measure decreases.  County level yield variability should be adjusted upward by approximately .1% for each percent difference in county acreage and average farm acreage within the county.  The meta-analysis approach is shown to be promising for the prediction of farm level yield risk when farm level information is difficult to obtain.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	11586

http://purl.umn.edu/31228	
Editor: 	AgEcon Search	
Relação: 	Journal of Agricultural and Resource Economics&gt;Volume 19, Number 01, July 1994	
Formato: 	9

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