Nonparametric instrumental variable (NPIV) estimation is a cutting‐edge methodological framework employed to uncover causal relationships in the presence of endogenous regressors, without imposing ...

This paper establishes that instruments enable the identification of nonparametric regression models in the presence of measurement error by providing a closed form ...

※本稿はテックブログからの転載です。 The goal of this blog is to share my learnings and application of instrumental variables regression which were ...

This project implements a novel approach to causal inference using Graph Attention Networks (GAT) to synthesize instrumental variables for confounded treatment effect estimation. The system learns to ...

This paper extends the usual Instrumental Variables estimator of the parameters of a linear regression involving stochastic regressors to the case where these parameters are subject to exact linear ...

Abstract: Treatment effect estimation from observational data is a fundamental problem in causal inference, and its critical challenge is to address the confounding bias arising from the confounders.

A brief description of the methods used by the SYSLIN procedure follows. For more information on these methods, see the references at the end of this chapter. There are two fundamental methods of ...