We introduce a high-dimensional structural time series model, where co-movement between the components is due to common factors. A two-step estimation strategy is presented, which is based on principal components in differences in a first step and state space methods in a second step. The...

Detailed distributional estimates at finer geographical levels remain scarce, despite their critical relevance for household well being and policy intervention. This paper leverages Italian income tax records dating back to 1976 focusing on top income concentration and inequality across the...

Rather than charging direct fees, banks often charge implicitly for their services via interest spreads. As a result, much of bank output has to be estimated indirectly. In contrast to current statistical practice, dynamic optimizing models of banks argue that compensation for bearing systematic...