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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.
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