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.
