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Abstract

Causality tests and path analysis are combined to create a new procedure for use in evaluating agricultural markets. The two complementary techniques combine to form a strong process for measuring the direction and strength of causal relationships within a structural equation model. An empirical example which evaluates midwestern corn market price relationships is presented.

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