A New Identification Condition for Recursive Models With Correlated Errors
Structural Equation Modeling A Multidisciplinary JournalPublished 1 October 2002Open access
Carlos Brito, Judea Pearl
Citations75
SJR quartileQ1
SJR score3.32
SNIP2.41
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
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.
Keywords
Computer ScienceEngineering
Contemporary Sociology A Journal of ReviewsStructural Equations with Latent Variables.
17,606 Citations1991Clifford C. Clogg, Kenneth A. Bollen
Social ForcesTesting Structural Equation Models.
8,255 Citations1995Clifford C. Clogg, Kenneth A. Bollen +1 more
Handbooks of sociology and social researchHandbook of Social Psychology
7,552 Citations2013John DeLamater, Amanda K. Ward
Artificial IntelligenceFusion, propagation, and structuring in belief networks
2,152 Citations1986Judea Pearl
Machine intelligence and pattern recognitionCausal Networks: Semantics and Expressiveness
349 Citations1990Thomas Verma, Judea Pearl
This paper shows that the graphical criterion called d-separation is a sound rule for reading independencies from any DAG based on a causal input list drawn from a graphoid and may be extended to cover DAGs that represent functional dependencies as well as conditional dependencies.
Sociological Methods & ResearchGraphs, Causality, and Structural Equation Models
336 Citations1998Judea Pearl
Path Coefficients and Path Regressions: Alternative or Complementary Concepts?*
298 Citations2017Sewall Wright
Multivariate Behavioral ResearchA Necessary and Sufficient Identification Rule for Structural Models Estimated in Practice
186 Citations1995Edward E. Rigdon
A straightforward classification system is presented that is a necessary and sufficient condition for identification of the structural component of structural equation models of the type most commonly estimated - block-recursive models with no more than two equations per block.
The Annals of StatisticsDistinctness of the Eigenvalues of a Quadratic form in a Multivariate Sample
162 Citations1973Masashi Okamoto
Elsevier eBooksIdentification, Equivalent Models, and Computer Algebra
120 Citations1994
This work provides conditions for the identification of major relevant classes of models and relevant algorithms and programs, which can now be performed by computer.
Sociological Methods & ResearchUsing Path Diagrams as a Structural Equation Modeling Tool
114 Citations1998Peter Spirtes, Thomas S. Richardson +3 more
Multivariate Behavioral ResearchHaldane's Lungs: A Case Study in Path Analysis
64 Citations1997Roderick P. McDonald
Using a data set on lung ventilation, a number of alternative assumptions governing nondirected paths in structural equation models without latent variables are examined and compared.