effect having an opposite sign from the true effect. We present an expression for the asymptotic bias of both OLS and IV … estimators and discuss the conditions under which sign reversal may occur. We provide a method for eliminating this bias when …

interaction, the misclassification of the exposure will bias the direct effect towards the null but can bias the indirect effect … through an intermediate variable. When the exposure is subject to misclassification, the effects estimated can be severely … biased. In this paper, when the mediator is binary, we first study the bias on traditional direct and indirect effect …

effect having an opposite sign from the true effect. We present an expression for the asymptotic bias of both OLS and IV … estimators and discuss the conditions under which sign reversal may occur. We provide a method for eliminating this bias when …

level does not fully alleviate the bias. In fact, the magnitude and direction of the bias depend on the size of the …

misclassification errors in students' self-reported attitudes. We develop a binary choice model with misclassification and social …