In our analysis we discuss several dynamic panel data estimators proposed in the literature and assess their … estimator is biased in the context of dynamic estimation. The estimators taking into account the resulting bias can be grouped … broadly into the class of instrumental estimators and the class of direct bias corrected estimators. The simulation results …

largely free of bias arising from an association between treatment status and observable variables. However, matching methods … are not robust against 'hidden bias' arising from unobserved variables that simultaneously affect assignment to treatment … resultieren. Matchingverfahren sind allerdings anfällig für Schätzverzerrungen aufgrund von 'hidden bias' durch unbeobachtete …

The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional … fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct …

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 …

In the presence of selection bias, traditional estimators of pseudo panel data are inconsistent. In this paper, the … authors derive the conditions under which consistence is achieved in pseudo-panel estimation and propose a simple test of … selection bias. Specifically, they propose a Wald test for the null hypothesis that there is no selection bias. Under rejection …

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …

Many approaches to estimation of panel models are based on an average or integrated likelihood that assigns weights to … that such bias-reducing weights must depend on the data unless an orthogonal reparameterization or an essentially …. Finally, we show that random effects estimators are not bias reducing in general and discuss important exceptions. Three …

methods perform that promise to reduce such a bias. Based on data of the German Socio-Economic Panel (SOEP), which covers …The German Microcensus (MC) is a large scale rotating panel survey over three years. The MC is attractive for … indicate that weighting by inverse mobility scores reduces the bias to about 60 percent whereas the official longitudinal …

happiness in a large Dutch internet panel survey. We find that slower responses and higher cognitive effort reduce reported …

conduct simulations and find that the estimation error of the present bias parameter is so large that its effect is difficult …