A decomposition approach to analysing racial and gender biases in Farm Service Agency's lending decisions

C-Tier
Journal: Applied Economics
Year: 2012
Volume: 44
Issue: 22
Pages: 2841-2850

Authors (4)

Ya Wu (not in RePEc) Cesar L. Escalante (University of Georgia) Lewell F. Gunter (not in RePEc) James E. Epperson

Score contribution per author:

0.251 = (α=2.01 / 4 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This study provides a different perspective in revisiting the racial and gender discrimination issue at the Farm Service Agency (FSA). Employing the Oaxaca--Blinder decomposition method, this study analyses disparities in approved loan amounts among racial and gender classes of borrowers. This study's results indicate substantial differentials in approved loan amount gaps between racial and gender classes, favouring white and female borrowers, respectively. Further scrutiny of the borrowers’ comparative financial conditions presented to FSA to support their loan applications, however, indicate that these borrower groups significantly dominate their peers in a number of measures that indicate their financial strengths and relatively greater capability to repay their future lending obligations. Hence, this study's results can hardly be construed as evidence of biased lending decisions as these borrower groups should rightfully be offered more favourable loan terms, such as larger loan amounts, by the FSA.

Technical Details

RePEc Handle
repec:taf:applec:44:y:2012:i:22:p:2841-2850
Journal Field
General
Author Count
4
Added to Database
2026-01-25