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Abstract

The economic utility of five weighting methods (unit, weighted application blank, chi-square, Bayes, and regression) for evaluating consumer loan applications was determined. A sample of 443 consumer loans which had been classified as either good or bad accounts was analyzed via 11 predictor variables. The predictor variables were weighted by each of the five weighting methods. Cross-validated correlations revealed that consumer credit risk is highly predictable. The five methods differed in the extent to which they produced false positive and false negative selection decisions. Utility assessments revealed that the best methods were the unit and weighted application blank procedures. The findings were discussed in terms of the assessment of credit risk and issues associated with the implementation of decision models by real world decision makers.

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References

Beach, B. H. (1975). Expert judgment about uncertainty: Bayesian decision making in realistic settings. Organizational Behavior and Human Pefobrmance, 14, 10-59.

Bowerman, B. L. and O'Connell, R. T. (1990). Linear statistical models (2nd ed.). Boston: PWS-Kent.

Buel, W. D. (1968). Evaluating mortgage loan risk. Journal of Applied Psychology, 52, 399-402.

Einhorn, H. J. and Hogarth, R. M. (1975). Unit weighting schemes for decision making. Organizational Behavior and Human Performance, 13, 171-192.

England, G. W. (1971). Development and use of weighted application blanks. Minneapolis: Industrial Relations Center, University of Minnesota.

Hassler, H. W. , Myers, J. H. , and Seldin, M. (1963). Payment history as a predictor of credit risk. Journal of Applied Psychology, 47, 383-385.

McGrath, J. J. (1960). Improving credit evaluation with a weighted application blank. Journal of Applied Psychology, 44, 325-328.

Myers, J. H. (1963). Predicting credit risk with a numerical scoring system. Journal of Applied Psychology, 48, 168-170.

Myers, J. H. (1967). Decision models for credit scoring system cutoff determination. Journal of Applied Psychology, 51, 529-532.

10.

Myers, J. H. and Errett, W. (1959). The problem of preselection in weighted application blank studies. Journal of Applied Psychology, 43, 94-95.

11.

Myers, J. H. and Forgy, E. W. (1963). The development of numerical credit evaluation systems. Journal of the American Statistical Association, 58, 799-806.

12.

Smith, P. F. (1964). Measuring risk on consumer installment credit. Management Science, 11, 327-340.

13.

SPSS (1988). SPSSX user's guide (3rd ed.) [Computer program manual]. Chicago, IL: Author.

14.

U. S. Code, Right to Privacy, Chapter 35, § 3401 et seq., 92 Stat. 3697, 1979.

15.

Von Winterfeldt, D. and Edwards, W. (1986). Decision analysis and behavioral research. Cambridge: Cambridge University Press.

16.

Wainer, H. (1976). Estimating coefficients in linear models: It don't make no nevermind. Psychological Bulletin, 83, 213-217.

Utility Analysis of Five Weighting Methods for Making Consumer Loan Decisions

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