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Homogeneous Groups and the Testing of Economic Hypotheses

Published online by Cambridge University Press:  19 October 2009

Edwin J. Elton  and
Martin J. Gruber
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Extract

In testing hypotheses, researchers are almost always faced with the problem of isolating the effect of certain variables. This is a particularly acute problem in the social sciences, where the absence of an experimental environment means that researchers must resort to statistical methods of adjustment.

Type
Security Analysis
Information
Journal of Financial and Quantitative Analysis , Volume 4 , Issue 5 , January 1970 , pp. 581 - 602
Copyright
Copyright © School of Business Administration, University of Washington 1970

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References

[1]Ball, G., “Data Analysis in the Social Sciences” (Fall Joint Computer Conference, 1965).CrossRefGoogle Scholar
[2]Barges, A., The Effect of Capital Structure on the Cost of Capital (Englewood Cliffs, New Jersey: Prentice-Hall, 1963).Google Scholar
[3]Benishay, H., Determinants of Variability in Earnings Price Ratios of Corporate Equities (Ph.D. thesis, University of Chicago School of Business Administration, 1960).Google Scholar
[4]Cohen, K., and Pogue, I., “An Empirical Evaluation of Alternative Portfolio Selection Models”, Journal of Business, Vol. 40, No. 1 (January 1967), pp. 166–193.CrossRefGoogle Scholar
[5]Durand, D., Bank Stock Prices and the Bank Capital Problem Occasional Paper No. 54 (New York: National Bureau of Economic Research, 1957).Google Scholar
[6]Edwards, A. W. F., and Cavalli-Sforza, , “A Method for Cluster Analysis”, Biometrics, Vol. 21, No. 2, pp. 362–375.CrossRefGoogle Scholar
[7]Ezekiel, N., and Fox, K., Methods of Correlation and Regression Analysis (New York: Wiley, 1961).Google Scholar
[8]Farrar, D., “Multivariate Measures of Profile Similarity for the Objective Stratification of Econometric Data,” Working Paper (Cambridge, Massachusetts: Massachusetts Institute of Technology).Google Scholar
[9]Fortier, J., and Solomon, H., “Clustering Procedures,” Multivariate Analysis, Krishnaiah, P. R., ed. (New York: Academic Press, 1966).Google Scholar
[10]Friedman, H. P., and Rubin, J., “On Some Invariant Criteria for Grouping Data”, Journal of American Statistical Association, Vol. 62 (1967) pp. 1159–1178.CrossRefGoogle Scholar
[11]Gordon, M., The Investment, Financing, and Valuation of the Corporation, (Homewood, Illinois: Irwin, 1962).Google Scholar
[12]Gruber, M., “The Determinants of Common Stock Prices” (Ph.D. thesis, Columbia University School of Business Administration, 1966).CrossRefGoogle Scholar
[13]Keenan, M., “Toward a Positive Theory of Equity Valuation” (Ph.D. thesis, Carnegie Institute of Technology, 1967).Google Scholar
[14]King, B., “Stepwise Clustering Procedures”, Journal of American Statistical Association, Vol. 62 (1967), pp. 79–85.Google Scholar
[15]King, B. F., “Market and Industry Factors in Stock Price Behavior”, Journal of Business, Vol. 39, Part II (January 1966), pp. 139–190.Google Scholar
[16]Modigliani, F. and Miller, M., “The Cost of Capital, Corporation Finance, and the Theory of Investment,“ American Economic Review, Vol. XLVIII (June 1958), pp. 261–297.Google Scholar
[17]Morgan, J. N., and Sonquist, J. A., “Problems in the Analysis of Data and a Proposal,” Journal of the American Statistical Association (June 1963), pp. 417–436.CrossRefGoogle Scholar
[18]Rao, C. R., Advanced Statistical Methods in Biometric Research (New York: Wiley, 1952).Google Scholar
[19]Sharpe, W., “A Simplified Model for Portfolio Analysis”, Management Science, Vol. 9, No. 2 (January 1963), pp. 277–293.CrossRefGoogle Scholar
[20]Sneath, P. H. A., and Sokal, R. R., Principles of Numerical Taxonomy (San Francisco: Freeman and Col, 1963).Google Scholar
[21]Switzer, P., “Statistical Techniques in Clustering and Pattern Recognition,” Technical Report No. 139 (Palo Alto, California: Stanford University, October 18, 1968).Google Scholar
[22]Ward, J. H., “Hierarchical Grouping to Optimize an Objective Function”, Journal of American Statistical Association,. Vol. 58 (1963), pp. 236–244.Google Scholar