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Abstract
The transformation of jointly dependent and predetermined variables into principal components is shown to be an effective method for handling multicollinearity in simultaneous equations at the second stage. Estimates are obtained which are theoretically meaningful and • statistically significant. Simulations from the reduced forms are realistic relative to historical values.