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 …

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

the determinants of the least squares bias of the wage return to education. We find that disregarding individual fixed … effects is highly problematic, accounting for 95% of the bias. In contrast, disregarding firm fixed effects has marginal …

examining the CEO compensation of U.S. public companies that were ever in financial distress between 1992 and 2005. Using a bias … turnover ; financial distress ; lucky grants ; bias-corrected matching estimators …