Graphs
The Causal Foundations of Structural Equation Modeling
June, 2021
Abstract
Eight Myths About Causality and Structural Equation Models
Graphoids over Counterfactuals
September, 2014
Abstract
Augmenting the graphoid axioms with three additional rules enables us to handle independencies among observed as well as counterfactual variables. The augmented set of axioms facilitates the derivation of testable implications and ignorability conditions whenever modeling assumptions are articulated in the language of counterfactuals.
Graphical Tools for Linear Structural Equation Modeling
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.