Instrumental variables (IV) estimation addresses endogeneity arising when an explanatory variable correlates with the error term, biasing ordinary least squares (OLS ...
Nonparametric instrumental variable (NPIV) estimation is a cutting‐edge methodological framework employed to uncover causal relationships in the presence of endogenous regressors, without imposing ...
Economic modeling that yields practical value must cater for effects caused by exogenous variables. AutoRegressive eXogenous approach (ARX) has been widely used in regional economic studies.
Robins (1998) introduced marginal structural models, a general class of counterfactual models for the joint effects of time-varying treatments in complex longitudinal studies subject to time-varying ...
ABSTRACT: In this article, we develop estimation approaches for nonparametric multiple regression measurement error models when both independent validation data on ...
Results of Phase III Randomized Trial for Use of Docetaxel as a Radiosensitizer in Patients With Head and Neck Cancer, Unsuitable for Cisplatin-Based Chemoradiation Sixty-five empirical papers were ...
Abstract: This paper considers the identification problems of nonlinear systems with scarce measurements by using the instrumental variable technique. When the product of the instrumental matrix and ...
Abstract: Existing online continuous-time parameter estimation laws provide exact (asymptotic/exponential or finite/fixed time) identification of dynamical linear ...
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 ...
A frequent problem in the estimation of linear regression models is that the predictors are correlated with the error term contained in the regression equation. To ...
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