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

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

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 ...

In the usual Gauss-Markov (GM) framework of structural linear models, the GM estimators of the regression parameters become inconsistent if at least one of the ...

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 ...

RESULTS: Among 6,232 elderly patients, the instrumental variable estimate indicated an increase in median survival of 33 days and an improvement in 1-year survival of 9% attributable to chemotherapy.

Several of the estimation methods supported by PROC MODEL are instrumental variables methods. There is no standard method for choosing instruments for nonlinear regression. Few econometric textbooks ...

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 ...