In this paper we develop methods for estimation and forecasting in large time-varying parameter vector autoregressive … models (TVP-VARs). To overcome computational constraints with likelihood-based estimation of large systems, we rely on Kalman … filter estimation with forgetting factors. We also draw on ideas from the dynamic model averaging literature and extend the …