JOURNAL ARTICLE

Piecewise Linear Instrumental Variable Estimation of Causal Influence

Richard ScheinesGregory F. CooperChangwon YooTianjiao Chu

Year: 2018 Journal:   OPAL (Open@LaTrobe) (La Trobe University) Pages: 265-271   Publisher: La Trobe University

Abstract

Instrumental Variable (IV) estimation is a powerful strategy for estimating causal influence, even in the presence of confounding. Standard IV estimation requires that the relationships between variables is linear. Here we relax the linearity requirement by constructing a piecewise linear IV estimator. Simulation studies show that when the causal influence of X on Y is non-linear, the piecewise linear is an improvement.

Keywords:
Instrumental variable Estimator Piecewise linear function Mathematics Estimation Confounding Piecewise Linearity Variable (mathematics) Linear regression Linear model Applied mathematics Statistics Computer science Mathematical optimization Econometrics Mathematical analysis

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Citation History

Topics

Bayesian Modeling and Causal Inference
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Causal Inference Techniques
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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