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 …

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 …

commonly used static-model estimators of schooling coefficients are subject to an omitted-variable bias which can be named … "persistence bias". …

controlled for there is a further pervasive source of bias, namely the co-movement of firm employment and firm wages. In a simple … aggregate or firm level) to firm's employment and wages cause downward bias in OLS regression estimates of RTT. We show that the … long established procedures for dealing with "traditional" RTT bias do not circumvent the additional problem we have …