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Homogeneous Groups and the Testing of Economic Hypotheses

Published online by Cambridge University Press:  19 October 2009

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
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. 166193.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. 362375.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. 11591178.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. 7985.Google Scholar
[15]King, B. F., “Market and Industry Factors in Stock Price Behavior”, Journal of Business, Vol. 39, Part II (January 1966), pp. 139190.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. 261297.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. 417436.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. 277293.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. 236244.Google Scholar