Pseudo-panels allow estimation of panel models when only repeated cross-sections are available. This involves grouping … constrained by a lack of consensus on how the pseudo-panels should be formed, particularly to address potential sampling error … bias. We show that grouping can also create substantial aggregation bias, calling into question how well pseudo-panels can …

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 … clearly favour the direct bias corrected estimators, especially the estimator proposed by Hansen (2001). The superiority of …

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 … clearly favour the direct bias corrected estimators, especially the estimator proposed by Hansen (2001). The superiority of …

analyst faces a sample selection bias problem. The aim of this paper is to provide further evidence using a simple sequential … different levels of estimation and diagnostic with the Ordinary Least Squares (OLS), Heckman’s 2-step and Full Information … with sample selection bias than the Heckman’s 2-step approach. …

corrected versions of it are comparedwith IV and GMM regarding: coefficient bias, accuracy of varianceestimators - both of the … disturbances and of the coefficientestimators - and the actual size of coefficient tests. A reasonablysimple and consistent bias …

This paper considers fixed effects estimation and inference in linear and non-linear panel data models with random …-individual estimators in short panels, we develop bias corrections. These corrections are based on higher-order asymptotic expansions of the … estimators have asymptotic biases of the same order as their asymptotic standard deviations. The bias corrections remove the bias …

This paper uses the control function to develop a framework for testing for selection bias. The idea behind our … magnitude of potential selection bias. Averaging this correction term with respect to appropriate weights yields the degree of … selection bias for alternative treatment effects of interest. One advantage of our framework is that it motivates when is …