This paper studies the asymptotic properties of standard panel data estimators in a simple panel regression model with error component disturbances. Both the regressor and the remainder disturbance term are assumed to be autoregressive and possibly non-stationary. Asymptotic distributions are...

Panel data model with stationary and nonstationary regressors and error terms -- Panel time trend model with stationary and nonstationary error terms -- Estimation of change points in stationary and nonstationary regressors and error term -- Weak instruments in panel data models -- Incidental...

This paper establishes that regressors in the models with censored dependent variables need not be bounded for the standard asymptotic results to apply. Thus regressors which grow monotonically with the observation index may be acceptable. It also purports to provide an upper bound on the rate...

This paper considers models with latent/discrete endogenous regressors and presents a simulation-based two-step (STS) estimator. The endogeneity is corrected by adopting a simulation-based control function approach. The first step consists of simulating of the residuals of the reduced-form...