Counterfactuals and Policy Analysis in Structural Models

Abstract

Evaluation of counterfactual queries (e.g., 'If A were true, would C have been true?') is important to fault diagnosis, planning, determination of liability, and policy analysis. We present a method for evaluating counter-factuals when the underlying causal model is represented by structural models a nonlinear generalization of the simultaneous equations models commonly used in econometrics and social sciences. This new method provides a coherent means for evaluating policies involving the control of variables which, prior to enacting the policy were influenced by other variables in the system.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1995
Accession Number
ADA332582

Entities

People

  • Alexander A. Balke
  • Judea Pearl

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Computer Science
  • Covariance
  • Data Analysis
  • Economic Models
  • Economic Policy
  • Economics
  • Equations
  • Health
  • Intelligent Agents
  • Intelligent Systems
  • Probability
  • Reasoning
  • Simultaneous Equations
  • Social Sciences
  • Taxes

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Economics