This paper proposes a parametric approach to estimating a dynamic binary response panel data model that allows for …

the bias in the unpaired sample. In a second step, corrected unpaired observations are used jointly with panel data. This …

This paper considers the statistical analysis of large panel data sets where even after conditioning on common observed … dependence. It is then established that the Common Correlated Effects (CCE) estimator of panel data model with a multifactor …

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

With the increased availability of longitudinal data, dynamic panel data models have become commonplace. Moreover, the … included in the model. In this paper, we propose several new estimators for dynamic panel data models when data are irregularly …

The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed …

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …

The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two … performance of our estimator relative to classic panel estimators using data on earnings and crime …

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

This paper focuses on the estimation and predictive performance of several estimators for the time-space dynamic panel …