model and moment selection criteria to dynamic panel data models with unobserved individual effects. The paper shows how to …

We examine the relationship between consistent parameter estimation and model selection for autoregressive panel data …

under a simple panel Poisson count model. We also extend the strategy to accomodate cases when information orthogonality is … unavailable, such as the linear AR(p) panel model. For the AR(p) model, there exists a correction function to fix the incidental … in both parameter estimation and model selection. -- dynamic panel data model with fixed effect ; incidental parameter …

The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences … model in terms of bias and root mean squared error. However, we show in this paper that in the covariance stationary panel … results are shown to extend to the panel data GMM estimators. …

This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive …

This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao …

approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …

approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …

This paper develops an innovative way of estimating a functional-coefficient spatial autoregressive panel data model …