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.
Abstract. Instrumental Variable (IV) estimation is a powerful strategy for estimating causal influence, even in the presence of confounding.
Instrumental Variable (IV) estimation is a powerful strategy for estimating causal influence, even in the presence of confounding. Standard IV estimation ...
Richard Scheines, Piecewise linear instrumental variable estimation ...
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Piecewise linear instrumental variable estimation of causal influence · Richard Scheines. Abstract. Dept. of Philosophy Center for Biomedical Center for ...
In this paper, we propose a piecewise linear instrumental variable (PLIV) model for estimating the causal effect via a continuous threshold function. The ...
The proposed method uses a machine learning regression methodology to estimate the observation-level effect of a treatment variable, for either a binary, ...
This paper reports estimates of the effects of JTPA training programs on the distribution of earnings. The estimation uses a new instrumental variable (IV) ...
Sep 2, 2022 · We propose using the piecewise linear model to fit the relationship between the continuous instrumental variable and the continuous explanatory ...
Missing: Influence. | Show results with:Influence.
Oct 22, 2024 · We study the role of latent variables such as latent instrumental variables and hidden common causes in the causal graphical structures. We show ...
May 6, 2022 · Instrumental variables allow for quantification of cause and effect relationships even in the absence of interventions.