Abstract: After a brief introduction about panel data, two extensions of the standard model are presented in the case of time-varying parameters and of sample selection of known form. An application to ordered response variables is presented in a Markov Chain setting, where the transition probabilities depend on regressors. Finally, the potential of repeated cross-sections as substitutes for genuine panel data is addressed in the estimation of static and dynamic models.