| Registro completo |
| Provedor de dados: |
31
|
| 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>Volume 24, Number 01, July 1992
|
| Formato: |
7
application/pdf
|
|
