Combining Casuality Tests and Path Analysis to Model Agricultural Markets

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.


Issue Date:
1985-04
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/232160
Total Pages:
23
Series Statement:
85-5




 Record created 2017-04-01, last modified 2018-01-23

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