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A Microcomputer Analysis of Farm Financial Performance

Published online by Cambridge University Press:  05 September 2016

Gary D. Schnitkey
Affiliation:
Department of Agricultural Economics, University of Illinois, Urbana-Champaign
Peter J. Barry
Affiliation:
Department of Agricultural Economics, University of Illinois, Urbana-Champaign
Paul N. Ellinger
Affiliation:
Department of Agricultural Economics, University of Illinois, Urbana-Champaign

Abstract

This article describes the properties of the Farm Financial Simulation Model (FFSM). FFSM is a tool for analyzing the financial consequences of various managerial strategies and policy options that may be implemented in responding to farm financial stress. Various farm types from different geographical regions having differing enterprises, financial structures, tenure arrangements, and consumption patterns can be analyzed. The emphasis of FFSM is placed on modeling a farm's profitability, liquidity, solvency, and financial position and the model produces a coordinated set of financial statements and an extensive set of financial ratios over a four-year period.

Type
Submitted Articles
Copyright
Copyright © Southern Agricultural Economics Association 1987

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References

Barry, P. J. Financial Stress in Agriculture: Policy and Financial Consequences. Department of Agricultural Economics, University of Illinois, AE-4621, November, 1986.Google Scholar
Barry, P. J., Hopkin, J. A., and Baker, C. B.. Financial Management in Agriculture. 3rd ed. Danville, Ill.: Interstate Printers and Publishers, 1983.Google Scholar
Baum, K. H.Simulating Farm Level Policy and Income Conditions: PICFARM.Economic Research Service U.S. Department of Agriculture, Washington D.C., 1984.Google Scholar
Egbert, R. S., Mapp, H. P., Love, R. O., and Baden, R. B.. Integrated Farm Financial Statements for the Microcomputer. CSS-7, Department of Agricultural Economics, Oklahoma State University, 1984.Google Scholar
Ellinger, P. N., and Barry, P. J.. “The Effects of Tenure Position on Farm Profitability and Solvency: An Application to Illinois Farms.Agricultural Finance Review 47(1987):forthcoming.Google Scholar
Frey, T. L., and Klinefelter, D. A.. Coordinate Financial Statements for Agriculture. Skokie, Ill.: Century Communications, Inc., 1978.Google Scholar
Ginder, R. G., Stone, K. F., and Otto, D.. “Impact of the Farm Financial Crisis on Agribusiness Firms and Rural Communities.Amer. J. Agr. Econ., 67(1985):11841190.Google Scholar
Gustafson, C. R.Investment Behavior of Illinois Cash Grain Farmers: A Simulated Experimental Approach.” Ph.D. dissertation, University of Illinois, 1986.Google Scholar
Hawkins, R. FINPACK. Department of Agricultural and Applied Economics, University of Minnesota, St. Paul, 1985.Google Scholar
Jolley, R. W., Paulsen, A., Johnson, J. D., Baum, K. H., and Prescott, R.. “Incidence, Intensity, and Duration of Financial Stress Among Farm Firms.Amer. J. Agr. Econ., 67(1985):11081115.Google Scholar
Kesler, R., and Burk, B.. Farm Business and Financial Management Transition Program. Department of Agricultural Economics, University of Illinois, 1986.Google Scholar
Melichar, E. O., and Irwin, G. D.. “Condition of Rural Financial Intermediaries.Amer. J. Agr. Econ., 67(1985):11781183.Google Scholar
Patrick, G. F.Effects of Debt Levels and Loan Arrangements on Farm Firm Survival and Growth.Risk Management in Agriculture: Behavioral, Managerial, and Policy Issues. AE-4478, University of Illinois, 1979.Google Scholar
Schnitkey, G. D., Barry, P. J., and Ellinger, P. N.. Farm Financial Simulation Model. Department of Agricultural Economics, University of Illinois, 1986.Google Scholar
Richardson, J., and Nixon, C.. Description of FLIPSIM:A General Firm Level Policy Simulation Model. Texas Agr. Exp. Sta. Bulletin B-1528. Texas A&M University, July 1986.Google Scholar
U.S. Department of Agriculture. Financial Characteristics of U.S. Farms, January 1985, Economic Research Service, Agricultural Information Bulletin No. 495, Washington, 1985.Google Scholar
Walker, O. L., and Helmers, G. A.. “Applications II: Simulation.Risk Management in Agriculture. Barry, Peter J., ed. Ames, Iowa: Iowa State University Press, 1984.Google Scholar