In this paper, we compare alternative estimation approaches for factor augmented panel data models. Our focus lies on panel data sets where the number of panel groups (N) is large relative to the number of time periods (T). The principal component (PC) and common correlated effects (CCE)...

Latent variables are used to rewrite a wide class of structural vector autoregressive (SVAR) models. The framework is general enough to include as particular cases all just and over-identified models recently used in applied macroeconomics. The latent variables representation can conveniently be...