Data/hora: 06/06/2024 08:20:01

Provedor de dados: | 31
País: | United States
Título: | A DECOMPOSITION APPROACH TO ANALYZING RACIAL AND GENDER BIASES
Autores: | Wu,   Ya; Escalante,   Cesar L.; Gunter,   Lewell F.; Epperson,   James E.
Data: | 2009-04-30
Ano: | 2009
Palavras-chave: | Credit risk; Farm Service Agency; Gender bias; Oaxaca-Blinder decomposition; Racial bias; Agricultural Finance.
Resumo: | 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
Idioma: | Inglês
Identificador: | http://purl.umn.edu/49308

Relação:

Agricultural and Applied Economics Association&gt;2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin

Selected paper

611688

Formato: | 25