-squares (OLS). To explore these conjectures, we derive an expression for OLS omitted variable bias in a univariate model with … conventional omitted variables bias. Moreover, we show that spatial dependence in the regressor exacerbates the usual bias that …

We examine evidence on omitted-ability bias in estimates of the economic return to schooling, using proxies for …

We examine evidence on omitted-ability bias in estimates of the economic return to schooling, using proxies for …

-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than … in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias …

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 …

of bias of (generalized) MMestimators tends to increase with the number of moment conditions exploited. Forvarious … estimation procedures we examine the analytical effects of feedbacks andother model characteristics such as prominence of … feedbacks none of the techniques examined dominates. However, asimple bias corrected LS estimator which presupposes strict …

In this paper, we show that the order of magnitude of the finite sample bias of the GMMld^{(2)} estimator of Bun and …

complexity of the formulae currently available. We obtain new analytic formulae for the bias of a class of estimators of the … possible bias and improves substantially on the standard Eicker-White estimate …