. This could be the result of a bias caused by standard estimation error. Using German social security records we show that … the effect of this bias is substantial in samples with limited inter-firm movement. The correlation between worker and … ; limited mobility bias …

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 …

. 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 …

-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 …

estimates for a number of reasons. Consequently, if we neglect this potential bias in OLS when estimating the gender wage gap …

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 …