Competing risks models of Farm Service Agency seven‐year direct operating loans

Author:

Dixon Bruce L.,Ahrendsen Bruce L.,McFadden Brandon R.,Danforth Diana M.,Foianini Monica,Hamm Sandra J.

Abstract

PurposeThe purpose of this paper is to apply duration methods to a sample of Farm Service Agency (FSA) direct, seven‐year operating loans to identify those variables that influence the time to loan termination and type of termination. Variables include both those known at time of loan origination and those that characterize the changing economic environment over the life of the loan. Also, to examine the impact of various FSA programs promoting policy objectives.Design/methodology/approachA systematic sample of 877 seven‐year, FSA direct loans originated between October 1, 1993 and September 30, 1996 was collected. Cox regression, competing risks models are estimated as a function of borrower and loan characteristics observable at loan origination. Economic indicator variables emphasizing the farm economy and observed quarterly over the life of the loan are also included as explanatory variables.FindingsLoan characteristics, borrower financial characteristics and degree of borrower interaction with FSA observable at origin are significant variables in determining type of loan outcome (default or paid‐in‐full) and time to outcome. Changes in the economic environment and farm economy during the life of the loan are significant.Research limitations/implicationsThe sample consists only of FSA direct loans which implies borrowers are at financial margin. Application of method to agricultural loans from conventional commercial lenders could identify different significant factors.Practical implicationsUsing length of time to loan termination instead of just type of outcome provides for a richer analysis of loan performance. Loan performance over time is influenced by the larger economy and should be incorporated into loan performance modeling.Originality/valueThe study described in the paper demonstrates use of competing risks models on intermediate agricultural loans and develops how this technique can be used to learn about dynamic aspects of loan performance. Sample consists of observations on individual FSA direct loan borrowers. The FSA direct loan program is the major source of credit for agricultural borrowers at the financial margin.

Publisher

Emerald

Subject

Agricultural and Biological Sciences (miscellaneous),Economics, Econometrics and Finance (miscellaneous)

Reference25 articles.

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3. Brinch, B.M. and Stokes, J.R. (2001), “Quantifying the impact of farmer mac prepayment penalties”, Agricultural Finance Review, Vol. 61 No. 2, pp. 141‐66.

4. Cox, D.R. and Oakes, D. (1984), Analysis of Survival Data, Chapman and Hall, London.

5. Dodson, C.B. and Koenig, S.R. (2000), “Farm Service Agency credit delivery to different classes of borrowers”, in Turvey, C.G. (Ed.), Proceedings of the 46th Agricultural Finance Conference: The Changing Nature of Agricultural Risks, University of Guelph, Ontario, Canada.

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