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

Abstract: This document aims to solve the parametric estimation problem of nonlinear time-varying systems modeled by Wiener-Hammerstein models (W-H) with unknown time-varying parameters. A recursive ...

ABSTRACT: Purpose: The purpose of this study is to examine the effect of factor inputs, namely gross fixed capital formation, human capital investment, and population growth, on industrial sector ...

Abstract: Bias due to unobserved confounding can seldom be ruled out with certainty when estimating the causal effect of a nonrandomized treatment. The instrumental variable (IV) design offers, under ...

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 ...

Abstract: Motion control is an important task in industrial automation systems. And the exact motor speed estimation is needed for precise motion control. To obtain the motor speed, linear hall sensor ...

Full Python implementation of Aymeric et al.'s (2025) methodology for investigating the causal impact of parental environment on student achievement. Implements OLS regression and IV-2SLS instrumental ...