Data/hora: 02/06/2024 18:31:18

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	COMBINING ANNUAL ECONOMETRIC FORECASTS WITH QUARTERLY ARIMA FROECASTS:  A HEURISTIC APPROACH	
Autores: 	Myer,   Gordon L.; Yanagida,   John F.	
Data: 	2003-12-30	
Ano: 	1984	
Palavras-chave: 	Demand and Price Analysis; Research Methods/ Statistical Methods.	
Resumo: 	Data limitations often limit the time framework in which agricultural commodities are modeled and prices forecasted.  Our research provides a technique to alleviate this constraint.  By combining an annual econometric model with a quarterly ARIMA model, quarterly forecasts can be made which utilize the theoretical and structural foundations in econometric modeling.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	11998

http://purl.umn.edu/32375	
Editor: 	AgEcon Search	
Relação: 	Western Journal of Agricultural Economics&gt;Volume 09, Number 01, July 1984	
Formato: 	7

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