. 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 …

-response may bias estimates. Linking Dutch survey data to administrative income data allows us to examine whether selective … responses bias the estimated relationship between parental income and children's mathematics and language test scores in grades … because they may be biased by selective non-response. The direction of such bias is difficult to predict a priori. Bias due to …

share of immigrants in the workforce and earnings imputation rates have risen over time, imputation match bias for recent …

-level records covering the whole universe of French firms. The quasi-random assignment of judges to cases reveals that judge bias … find that the uncertainty associated with the actual dispersion of judge bias is small and has a non-significant impact on …