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 …

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 …

schooling and market ability is found to be positive and is consistent with the existence of a positive "Ability Bias". …

quantiles of the wage distribution. We account for the selection bias from the annual hours of work decision by developing and …

We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case … situations, even when selection is only on observables. -- Treatment effects ; propensity score ; bias ; unconfoundedness …

. 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 …. -- neighbourhoods ; selective mobility ; neighbourhood effects ; selection bias ; migration ; residential mobility …