Work

A Criterion for Parameter Identification in Structural Equation Models

Year: 2012

Type: preprint

Abstract: This paper deals with the problem of identifying direct causal effects in recursive linear structural equation models. The paper establishes a sufficient criterion for identifying individual causal effects and provides a procedure computing identified causal effects in terms of observed covariance matrix.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1206.5289

Author: Tian, Jin

Institution: Iowa State University

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

Award: CAREER: Reasoning with Cause and Effect: Model Testing, Axiomatization, and Identification

OpenAlex ID: W2963664516

Cites: 18

Cited by: 11

Related to: 10