In this paper we develop a general framework to analyze state space models with timevarying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...

In this paper we develop a general framework to analyze state space models with timevarying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...

We model capital flows among Chinese provinces using a theory-based variance decomposition that allows us to gauge the importance of various channels of external adjustments at the regional level: variation in intertemporal prices-domestic and international interest rates and the real exchange...

We model capital flows among Chinese provinces using a theory-based variance decomposition that allows us to gauge the importance of various channels of external adjustments at the regional level: variation in intertemporal prices—domestic and international interest rates and the real exchange...