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C. Escalante, Adenola Osinubi, C. Dodson, Carmina Taylor (2017)
LOOKING BEYOND FARM LOAN APPROVAL DECISIONS: LOAN PRICING AND NONPRICING TERMS FOR SOCIALLY DISADVANTAGED FARM BORROWERSJournal of Agricultural and Applied Economics, 50
C. Barrett, Marc Bellemare, J. Hou (2009)
Reconsidering Conventional Explanations of the Inverse Productivity-Size RelationshipAgricultural & Natural Resource Economics
Ping Cheng, Zhenguo Lin, Yingchun Liu (2014)
Racial Discrepancy in Mortgage Interest RatesThe Journal of Real Estate Finance and Economics, 51
(2000)
White farmers suing USDA/FSA
Chandra Dhakal, C. Escalante, C. Dodson (2019)
Heterogeneity of farm loan packaging term decisions: a finite mixture approachApplied Economics Letters, 26
C. Escalante, Rod Brooks, J. Epperson, F. Stegelin (2006)
Credit Risk Assessment and Racial Minority Lending at the Farm Service AgencyJournal of Agricultural and Applied Economics, 38
T. Boehm, P. Thistle, A. Schlottmann (2006)
Rates and race: An analysis of racial disparities in mortgage ratesHousing Policy Debate, 17
(2001)
USDA's settlement with black farmers
E. Asiedu, James Freeman, Akwasi Nti-Addae (2012)
Access to Credit by Small Businesses: How Relevant Are Race, Ethnicity, and Gender? †The American Economic Review, 102
Nate Splett, P. Barry, B. Dixon, P. Ellinger (1994)
A joint experience and statistical approach to credit scoring
C. Escalante, P. Barry (2002)
Business growth strategies of Illinois grain farmsAgricultural Finance Review, 62
Stephen Viña, Tadlock Cowan (2005)
The Pigford Case: USDA Settlement of a Discrimination Suit by Black Farmers
C. Turvey (1991)
Credit scoring for agricultural loans: a review with applications
Naranchimeg Mijid, A. Bernasek (2013)
Decomposing Racial and Ethnic Differences in Small Business Lending: Evidence of DiscriminationReview of Social Economy, 71
C. Escalante, C. Turvey (2006)
Business start-up survival challenges and strategies of agribusiness and non-agribusiness entrepreneursAgricultural Finance Review, 66
Ya Wu, C. Escalante, L. Gunter, J. Epperson (2012)
A decomposition approach to analysing racial and gender biases in Farm Service Agency's lending decisionsApplied Economics, 44
(2003)
Discrimination in the small-business credit market
Ghangela Jones, C. Escalante, H. Rusiana (2015)
Reconciling information gaps in organic farm borrowers' dealings with farm lendersAgricultural Finance Review, 75
Dean Karlan, R. Osei, I. Osei-akoto, C. Udry (2012)
Agricultural Decisions after Relaxing Credit and Risk ConstraintsKauffman: Large Research Projects (Topic)
Elvin Wyly, C. Ponder (2011)
Gender, age, and race in subprime AmericaHousing Policy Debate, 21
C. Escalante, J. Epperson, Uthra Raghunathan (2009)
Gender Bias Claims in Farm Service Agency’s Lending DecisionsJournal of Agricultural and Resource Economics, 34
C. Turvey, A. Weersink (1997)
Credit Risk and the Demand for Agricultural LoansCanadian Journal of Agricultural Economics-revue Canadienne D Agroeconomie, 45
L. Miller, E. LaDue (1988)
Credit Assessment Models for Farm Borrowers: A Logit Analysis
The Quarterly Journal of Economics, 129
This study adds a new dimension in the study of racial and gender bias in farm lending. Most previous studies analyzed the separate effects of race and gender attributes on loan approval decisions. The analysis focuses on the stipulation of loan terms (loan amount, interest rate and maturity) among approved farm loan applications. The time period analyzed spans from 2004 until 2014 during which the government has undertaken reforms to improve delivery of loan services to its clientele of minority farmers. Thus, this study's findings could help validate the effectivity of such institutional reforms affecting Farm Service Agency (FSA) lending operations.Design/methodology/approachThis study utilizes a national direct loan origination data from the FSA of the U.S. Department of Agriculture (USDA) collected from 2004 to 2014. The analysis begins by identifying significant differences in cross-tabulations of loan terms among different racial and gender classes. Seemingly unrelated regression (SUR) regression techniques are then applied for a system of equations involving the three loan packaging components. The combined effects of the prescribed loan packaging terms are subsequently analyzed under a simulation-optimization framework.FindingsRegression results validate that indeed, relative to White American borrowers, certain minority borrowers are accommodated with lower loan amounts at higher interest rates and with shorter maturities. However, these decisions seem to be prompted by credit risk management considerations. The most compelling findings include the insignificance of all double minority labeling variables, except for the interest rate equation that even produced favorable results for Hispanic American females. Simulation-optimization results further reinforce that even when one or two unfavorable loan terms are included in the packaging, double minority borrowers end up with better profitability and liquidity positions.Practical implicationsThis study provides a different perspective in dealing with the controversial minority bias in lending by presenting evidence gathered from a government farm lending institution. The USDA-FSA has been sued in numerous occasions by minority borrowers. Since then, however, it has deliberately implemented institutional reforms to rectify previous errors. This study provides empirical evidence strengthening FSA's claim of its intention to improve its delivery of loan services, especially for its socially disadvantaged borrowers with double minority classification.Originality/valueThis study pioneers the analysis of the double minority labeling effect on farm lending decisions. Its contributions to literature are further enhanced by its goal to validate the effectiveness of FSA institutional reforms undertaken since the early 2000s in order to improve credit access of and delivery of credit services to minority farm borrowers, especially those that belong to more than one minority classification.
Agricultural Finance Review – Emerald Publishing
Published: May 4, 2020
Keywords: Racial minority; Double minority; Female farmers; Loan interest rates; Loan maturity; Loan packaging terms
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