within a dynamic spatial panel framework on the level of the 402 German small scale regions before. We use a detailed dataset …

assessed and compared using a panel data analysis for a sample of 125 countries. In order to control for unobserved country …-specific effects and the joint endogeneity of the explanatory variables, the Arellano-Bond Dynamic Panel GMM (Generalized Method of …

This study applied panel analysis to determine the factors influencing interest margins in Nigeria using bank …

Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context …

-Bond GMM estimation techniques for single dynamic panel data models with possibly endogenous regressors and cross …

GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is … country panel data supplements the simulation results. …

This paper develops a model for dynamic binary choice panel data that allows for unobserved heterogeneity to be … finite sample performance of our GMM estimators. -- dynamic discrete choice ; fixed effects ; panel data ; initial values …

This paper develops a model for dynamic binary choice panel data that allows for unobserved heterogeneity to be … finite sample performance of our GMM estimators. -- dynamic discrete choice ; fixed effects ; panel data ; initial values …

dynamic panel data models, Journal of Business and Economic Statistics, 23(2): 200-10] to unbalanced panels and discusses the … with three other available techniques for dynamic panel data models. Simulation reveals that LSDV-bc estimator is a good … internal and external R&D on labor productivity in an unbalanced panel of innovating firms …

This paper analyzes the identification question in censored panel data models, where the censoring can depend on both … tests of stochastic dominance. We also extend our results to dynamic versions of the censored panel models in which we …