We assess the performance of widely-used dynamic panel data estimators based on Monte Carlo simulations of a dynamic … severe bias even in the absence of measurement errors, omitted variables, and endogeneity issues. We analyze how the bias …

Fixed effects estimators of nonlinear panel data models can be severely biased because of the well-known incidental … parameter problem. We develop analytical and jackknife bias corrections for nonlinear models with both individual and time … effects introduce additional incidental parameter bias. As the existing bias corrections apply to models with only individual …

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 …