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Optimal Use of Qualitative Models: An Application to Country Grain Elevator Bankruptcies

Published online by Cambridge University Press:  28 April 2015

Michael S. Kaylen ,
Gary T. Devino  and
Michael H. Procter
Michael S. Kaylen
Affiliation:
University of Missouri-Columbia
Gary T. Devino
Affiliation:
University of Missouri-Columbia
Michael H. Procter
Affiliation:
University of Missouri-Columbia
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Abstract

Qualitative models can be used for decision making under uncertainty. This provides a useful framework for evaluating the models. If the costs for every action/state of nature combination are known, decisions made using a well-calibrated model would result in actual costs being close to expected costs. In addition, the actual cost can be compared to the cost of perfect foresight actions, giving a bound on the value of a better model. Application of these procedures is made using a logit model developed to predict Missouri country grain elevator bankruptcies.

Keywords

bankruptcycountry grain elevatorsdecision ruleelevator regulationqualitative models
Type
Submitted Articles
Information
Journal of Agricultural and Applied Economics , Volume 20 , Issue 2 , December 1988 , pp. 119 - 126
Copyright
Copyright © Southern Agricultural Economics Association 1988

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References

Altman, F.I. “Financial Discriminant Analysis and the Prediction of Corporate Bankruptcy.” J. Finance, 23(1968):589–609.CrossRefGoogle Scholar
Amemiya, T. “Qualitative Response Models: A Survey.” J. Econ. Lit., 19(1981):1483–1536.Google Scholar
Anderson, J.R., Dillon, J.L., and Hardaker, B.. Agricultural Decision Analysis. Ames: Iowa State University Press, 1977.Google Scholar
Beaver, W. “Alternative Accounting Measures as Predictors of Failure.” Accounting Review, 43(1968):113–122.Google Scholar
Brandt, J.A., and Bessler, D.A.. “Composite Forecasting: An Application with U.S. Hog. Prices.” Amer. J. Agr. Econ., 63(1981):135–140.CrossRefGoogle Scholar
Coday, K.A. “Elevator Bankruptcies in Missouri.” AEWP 1986-54, University of Missouri, Department of Agricultural Economics, 1986.Google Scholar
Collins, R.A., and Green, R.D.. “Statistical Methods for Bankruptcy Forecasting.” J. Economics and Business, 34(1982):349–354.CrossRefGoogle Scholar
Devino, G.T. “Financial Condition of Privately Owned Country Elevators in Missouri.” AEWP 1986-53, University of Missouri, Department of Agricultural Economics, 1986.Google Scholar
Feather, P.M., and Kaylen, M.S.. “Qualitative Composite Forecasting.” Paper presented at the American Agricultural Economics Association meeting, East Lansing, Michigan, August 1987.Google Scholar
Fischer, M.L., and Moore, K.. “An Improved Credit Scoring Function for the St. Paul Bank for Cooperatives.” J. Agr. Cooperation, 1(1986):11–21.Google Scholar
Harrell, F.E. Jr. “The Logist Procedure.” SUGI Supplemental Library Users Guide (Version 5 Edition). Cary, North Carolina: SAS Institute, 1986.Google Scholar
Harris, K.S., and Leuthold, R.M.. “A Comparison of Alternative Forecasting Techniques for Livestock Prices: A Case Study.” No. Cent. J. Agr. Econ., 7(1985):40–50.Google Scholar
Kaylen, M.S. “A Note on the Forecasting of Turning Points.” No. Cent. J. Agr. Econ., 8(1986):155–158.Google Scholar
Maddala, G.S.Limited-Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press, 1983.CrossRefGoogle Scholar
Naik, G., and Leuthold, R.M.. “A Note on Qualitative Forecast Evaluation.” Amer. J. Agr. Econ., 68(1986):721–726.CrossRefGoogle Scholar
Pindyck, R.S., and Rubinfeld, D.L.. Econometric Models and Economic Forecasts. 2nd ed. New York: McGraw-Hill Book Company, 1981.Google Scholar
Press, J., and Wilson, S.. “Choosing Between Logistic Regression and Discriminant Analysis.” J. Amer. Stat. Assoc., 73(1978):699–705.CrossRefGoogle Scholar
Siebert, J.W. “An Early Warning Model for Grain Elevator Bankruptcy.” Amer. J. Agr. Econ., 65(1983):563–566.CrossRefGoogle Scholar