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

Building upon recent developments in spatial econometric models that address the misspecification of spatial weight matrices through adaptive LASSO techniques, my research aims to enhance the ...

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 ...

Assessing causal treatment effect on a time-to-event outcome is of key interest in many scientific investigations. Instrumental variable (IV) is a useful tool to mitigate the impact of endogenous ...

※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 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 ...

Sequential causal effect estimation has recently attracted increasing attention from research and industry. While the existing models have achieved many successes, there are still many limitations.