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	Provedor de dados AgEcon (2) Autor Epperson, James E. (2) Escalante, Cesar L. (2) Brooks, Rodney L. (1) Gunter, Lewell F. (1) Stegelin, Forrest E. (1) Wu, Ya (1) Mais... Palavra-chave Agricultural Finance (2) Credit risk (2) Farm Service Agency (2) Racial bias (2) Binomial logistic regression (1) Credit-scoring model (1) Direct lending (1) G20 (1) G21 (1) G28 (1) Gender bias (1) Guaranteed lending (1) Oaxaca-Blinder decomposition (1) Q10 (1) Q14 (1) Risk and Uncertainty (1) Mais... Tipo do documento Conference Paper or Presentation (1) Journal Article (1) Ano 2009 (1) 2006 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Credit Risk Assessment and Racial Minority Lending at the Farm Service Agency AgEcon Escalante, Cesar L.; Brooks, Rodney L.; Epperson, James E.; Stegelin, Forrest E.. The nature of credit risk assessment and basis of loan approval decisions of the Farm Service Agency are analyzed in the aftermath of the black farmers’ 1997 class action suit against the U.S. Department of Agriculture. This study did not uncover convincing evidence of racial discrimination against nonwhite borrowers under a binomial logistic framework based on the probability of a loan application’s approval. Moreover, the collective use of more stringent and objective credit-scoring measures usually employed by commercial lenders is less evident in the Farm Service Agency’s evaluation of loan applications. Tipo: Journal Article Palavras-chave: Binomial logistic regression; Credit risk; Credit-scoring model; Direct lending; Farm Service Agency; Guaranteed lending; Racial bias; Agricultural Finance; Risk and Uncertainty; G20; G21; G28; Q10; Q14. Ano: 2006 URL: http://purl.umn.edu/43749 A DECOMPOSITION APPROACH TO ANALYZING RACIAL AND GENDER BIASES AgEcon Wu, Ya; Escalante, Cesar L.; Gunter, Lewell F.; Epperson, James E.. This study provides a different perspective in revisiting the racial and gender discrimination issue regarding FSA loans. The Oaxaca-Blinder decomposition method, commonly used in wage discrimination analysis, is employed to determine whether there exist unwarranted differences between the loan amounts approved among racial and gender classes. The findings of this study are inconclusive. As with previous studies, no clear and convincing evidence was found to signal racial or gender discrimination with respect to approved loan amounts to farmer borrowers. Tipo: Conference Paper or Presentation Palavras-chave: Credit risk; Farm Service Agency; Gender bias; Oaxaca-Blinder decomposition; Racial bias; Agricultural Finance. Ano: 2009 URL: http://purl.umn.edu/49308 Registros recuperados: 2 Primeira ... 1 ... Última

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