Estimating Heterogeneous Panel Data Models
This thesis deals with the development and application of new estimation methods of heterogenous panel data models. In Paper I, a new estimator for heterogeneous panel data models with random interactive effects is proposed. The heterogeneity in this paper is viewed as heterogeneity over time, which is modeled by having the slope coefficients exhibit multiple structural breaks. The suggested estim