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In this paper I discuss three issues related to bias of OLS estimators in a general multivariate setting. First, I … discuss the bias that arises from omitting relevant variables. I offer a geometric interpretation of such bias and derive … sufficient conditions in terms of sign restrictions that allows us to determine the direction of bias. Second, I show that …
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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 …
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In the presence of conditional heteroskedasticity, inference about the coefficients in a linear regression model these days is typically based on the ordinary least squares estimator in conjunction with using heteroskedasticity consistent standard errors. Similarly, even when the true form of...
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