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 counterfactuals 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.
Cite
Text
Balke and Pearl. "Counterfactuals and Policy Analysis in Structural Models." Conference on Uncertainty in Artificial Intelligence, 1995.Markdown
[Balke and Pearl. "Counterfactuals and Policy Analysis in Structural Models." Conference on Uncertainty in Artificial Intelligence, 1995.](https://mlanthology.org/uai/1995/balke1995uai-counterfactuals/)BibTeX
@inproceedings{balke1995uai-counterfactuals,
title = {{Counterfactuals and Policy Analysis in Structural Models}},
author = {Balke, Alexander and Pearl, Judea},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1995},
pages = {11-18},
url = {https://mlanthology.org/uai/1995/balke1995uai-counterfactuals/}
}