Nonparametric instrumental variable (NPIV) estimation is a cuttingâedge 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 ...
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.
Abstract: It is shown how the kernel approach to joint parameter and state estimation can be improved to handle large measurement noise. High accuracy of estimation results from combining the powers ...
ABSTRACT: Microfinance is considered as an effective tool for poverty reduction and socioeconomic development. This paper examines the impact of microfinance on poverty eradication by analyzing the ...
ABSTRACT: The promotion of sustainable agricultural practices is crucial for achieving environmental sustainability. Moreover, there is limited documentation on how green agriculture moderates the ...
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