Out-of-sample forecasting tests of DSGE models against time-series benchmarks such as an unrestricted VAR are … improve forecasts from an unrestricted VAR. In testing forecasting capacity they also have quite weak power, particularly on … improve on VAR forecasts. …

This paper investigates whether codependence restrictions can be uniquely imposed on VAR and VEC models via the so …

We derive a framework for asymptotically valid inference in stable vector autoregressive (VAR) models with conditional … heteroskedasticity of unknown form. We prove a joint central limit theorem for the VAR slope parameter and innovation covariance … parameter estimators and address bootstrap inference as well. Our results are important for correct inference on VAR statistics …

standard VAR model. Debt monetisation is hardly expansionary, as it raises public demand that crowds out almost as much demand …

In this note we present an updated algorithm to estimate the VAR with stochastic volatility proposed in Mumtaz (2018 …

following econometric techniques OLS, VAR, TAR, GMM and VECM. The results showed a positive and significant, but weak …