A New Identification Condition for Recursive Models With Correlated Errors

Carlos Eduardo Fisch de Brito · Judea Pearl

75 citations0/0 files storedStructural Equation Modeling A Multidisciplinary Journal

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Psychometric Methodologies and Testing Advanced Causal Inference Techniques Statistical and numerical algorithms

Abstract

This article establishes a new criterion for the identification of recursive linear models in which some errors are correlated. We show that identification is ensured as long as error correlation does not exist between a cause and its direct effect; no restrictions are imposed on errors associated with indirect causes.

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References

1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.1995Testing Structural Equation Models.2013Handbook of Social Psychology 1993Testing Structural equation models 1979Correlation and causality 1976Introduction to Structural Equation Models.1995A Necessary and Sufficient Identification Rule for Structural Models Estimated in Practice

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2011Optimizing a control plan using a structural equation model with an application to statistical process analysis

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