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...

This paper looks at some implications of data uncertainty for monetary policy. We combine national accounts data revisions with optimal control and filtering experiments on a calibrated model to discuss policy implications of price-versus-volume data uncertainty in GDP data for the United...