Data/hora: 16/06/2024 09:33:26

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	SELECTING THE "BEST" PREDICTION MODEL: AN APPLICATION TO AGRICULTURAL COOPERATIVES	
Autores: 	Rambaldi,   Alicia N.; Zapata,   Hector O.; Christy,   Ralph D.	
Data: 	2003-04-03	
Ano: 	1992	
Palavras-chave: 	Agribusiness.	
Resumo: 	A credit scoring function incorporating statistical selection criteria was proposed to evaluate the credit worthiness of agricultural cooperative loans in the Fifth Farm Credit District.  In-sample (1981-1986) and out-of-sample (1988) prediction performance of the selected models were evaluated using rank transformation discriminant analysis, logit, and probit.  Results indicate superior out-of-sample performance for the management oriented approach relative to classification of unacceptable loans, and poor performance of the rank transformation in out-of-sample prediction.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	8007

http://purl.umn.edu/30380	
Editor: 	AgEcon Search	
Relação: 	Southern Journal of Agricultural Economics&gt;Volume 24, Number 01, July 1992	
Formato: 	7

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