Steven R. Koenig

Explaining county‐level variability in farm service agency farm loan programs

USDA direct and guaranteed farm loan programs exhibit significant geographical variation in lending activity. County‐level estimations made using Tobit procedures indicate that use of Farm Service Agency (FSA) farm loan programs is greater in counties with lower per capita income and regions experiencing greater farm financial stress. Use of direct FSA loan programs was lower in counties with fewer private‐sector lenders. Guarantee loan program usage was found to decline when commercial agricultural lenders are absent from the county. FSA loan programs were more highly utilized in counties with an FSA loan service center and in states receiving greater FSA farm loan funding in past years.

Research on USDA farm credit programs: past, present, and future

Federal farm credit programs currently administered by the USDA were initiated in the early 1900s to help the farm sector cope with natural disasters, and these programs have continued to evolve. There has been a rich history of research analyzing USDA farm credit programs and the effects they have had on farmers, ranchers, and credit markets. This paper highlights past research and offers a view of the future direction of research on federal farm credit programs.

Competition in farm credit markets: identifying market segments served by the farm credit system and commercial banks

Agricultural credit markets are dominated by two institutional retail lender groups, the cooperative Farm Credit System (FCS) and commercial banks. Analysis of farm loans made over the 1991S1993 and 2001S2002 periods indicates that FCS lenders were more likely to serve full‐time commercial farmers and farmers located in regions with less competitive credit markets. In contrast, commercial banks were more likely to serve small, part‐time, and hobby farmers. This segmentation of farm credit markets is consistent with federal regulations requiring the FCS to provide credit to “bona fide” farmers with a basis for credit.

A triple hurdle model of US commercial bank use of guaranteed operating loans and interest assistance

Purpose - The purpose of this paper is to estimate a three-equation model of US commercial bank usage of the Farm Service Agencys (FSA) guaranteed operating loan and interest assistance programs. Also, to identify the key farm and banking variables that affect the decision to use loan guarantees and the volume of loans with interest assistance. Design/methodology/approach - A triple hurdle, three-equation system is estimated to model three decisions: to participate in the FSA operating loan program; whether to use interest assistance given the decision to participate in the operating loan program; and then the degree of participation in the interest assistance program. Statistical selection is modeled. Data on almost all commercial banks in the USA from 1995 to 2003 are used in the estimation sample. Findings - Statistical selection is statistically significant so selection must be included in the models. Variables reflecting state-level characteristics such as farm debt servicing ratio, individual bank loan-to-asset ratio, bank size and the general guaranteed loan and interest assistance environment are significant in all three equations. Intensity of interest assistance use varies markedly across states. Originality/value - The interest assistance program has high subsidy costs and is an important source of support for financially marginal farmers. Scant prior research has investigated this program. The present study also shows that modeling interest assistance usage must be embedded in a larger model to give a complete specification.

US farm debt: the role of ARMS

Purpose - To identify periods of severe stress, and potentially take action to avoid or dampen their negative effects, lenders and policymakers need accurate and reliable data on US farm debt supply and credit needs. The purpose of this paper is to assess the current availability of information on US farm debt as well as its accuracy. Design/methodology/approach - A review of the farm debt information and survey methodology of the Agricultural Resource Management Survey (ARMS). Findings - This manuscript examines several potential issues involving the debt and lender data within ARMS. First, the empirical results indicate that there is an informational break in ARMS beginning in 2000. Second, the paper presents evidence that the overall level of debt reported by USDA is not consistent with information reported by lenders for other regulatory sources. Finally, the paper proposes a modification of the debt question to improve the data collection. Originality/value - The paper offers an external review of farm debt information in ARMS.