We assess selection bias in estimated returns to workplace training by exploiting a field experiment with random …. When controlling for pre-treatment performance or individual fixed effects, only about one tenth of this bias remains and …

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …/selection bias. We then estimate the primary equation by fixed effects including an appropriately constructed control function from … both steps might employ nonlinear fixed effects procedures it is necessary to bias adjust the estimates due to the …

We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case …

This paper provides an expression for the bias of the OLS estimator of the schooling coefficient in a simple static … coefficient is biased upward, and the bias is increasing with potential labor-market experience and the degree of earnings … persistence. In addition, NLSY data are used to show that the magnitude of the persistence bias is non-negligible, and the bias …

) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as … these have become increasingly important in applied work.Second, we build on a bias-reduction approach originally developed …

. The most severe problem is selection bias as a result of selective sorting into neighbourhoods. This paper argues that in … (selection bias) are also critical to fully understand the neighbourhood context itself. It is thus remarkable that residential …

-cycle bias if the snapshots cannot mimic lifetime outcomes. Using uniquely long series of Swedish income data, we show that … current empirical strategies do not eliminate such bias. We focus on the widely adopted generalized errors-in-variables model … and find that the remaining bias is substantial (20% of the true elasticity from left-side measurement error at the most …

new method to correct for attrition bias. We rely on a 10-years longitudinal data set with a final attrition rate of 10 …