Abstract:
This paper presents a model for panel data, where regressors may vary across time, across individuals, or both. Some of the regressors are assumed to be endogenous. The objective is here to extend estimation methods for models with a single random effect to the two-effects case. The properties of the IV estimators proposed are investigated using a Monte-Carlo simulation procedure.