The Causal Foundations of Structural Equation Modeling
On 1 Oct, 2021 By admin 0 Comments
June, 2021
Abstract
Structural Equation Models
Making Progress on Causal Inference in Economics
On 6 Nov, 2020 By admin 0 Comments
October, 2020
Abstract
Eight Myths About Causality and Structural Equation Models
On 5 Nov, 2020 By admin 0 Comments
Graphical Tools for Linear Structural Equation Modeling
On 2 Sep, 2019 By admin 0 Comments
July, 2015
Abstract
This paper surveys graphical tools developed in the past three decades that are applicable to linear structural equation models (SEMs). These tools permit researchers to answer key research questions by simple path-tracing rules, even for highly complex models. They include parameter identification, causal effect identification, regressor selection, selecting instrumental variables, finding testable implications of a given model, identifying equivalent models and estimating counterfactual relationships.
Graphs, Causality and Structural Equation Models
On 21 Aug, 2019 By admin 0 Comments
A Linear “Microscope” for Interventions and Counterfactuals
On 21 Mar, 2017 By admin 0 Comments
March, 2017
Abstract
This note illustrates, using simple examples, how causal questions of non-trivial character can be represented, analyzed and solved using linear analysis and path diagrams. By producing closed form solutions, linear analysis allows for swift assessment of how various features of the model impact the questions under investigation. We discuss conditions for identifying total and direct effects, representation and identification of counterfactual expressions, robustness to model misspecification, and generalization across populations.
The Causal Mediation Formula – A Guide to the Assessment of Pathways and Mechanisms
On 28 Apr, 2011 By admin 0 Comments