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This article is the last in a three-part series on research methodology in economic education in which statistical methods for model estimation are presented. Emphasis is upon the estimation and classical hypotheses testing of economic learning-regression models which may involve systems of equations, collinear regressors, interactions, and distributional effects, when there are errors in the variables and where measures of learning may be ordinal.
William E. Becker (Wed,) studied this question.