The identification of reduced-form VAR model had been the subject of numerous debates in the literature. Different sets of identifying assumptions can lead to very different conclusions in the policy debate. This paper proposes a theoretically consistent identification strategy using...

Recent studies illustrate that under some conditions dynamic stochastic general equilibrium models can be expressed as structural vector autoregressive models of infinite order. Based on this mapping and the theoretical results about vector autoregressive models of infinite order this paper...

This paper proposes an empirical model which can be used to estimate the impact of changes in the volatility of shocks to US real activity on the UK economy. The proposed empirical model is a structural VAR where the volatility of structural shocks is time varying and is allowed to affect the...

Evidence from a large and growing empirical literature strongly suggests that there have been changes in inflation and output dynamics in the United Kingdom. This is largely based on a class of econometric models that allow for time-variation in coefficients and volatilities of shocks. While...

This paper introduces the Bank of England's new forecasting platform and provides examples of how it can be applied to practical forecasting problems. The platform consists of four components: COMPASS, a structural central organising model; a suite of models, used to fill in the gaps in the...

This paper uses a ‘trendy' approach to understand UK inflation dynamics. It focuses on the time series to isolate a low-frequency and slow-moving component of inflation (the trend) from deviations around this trend. We find that this slow-moving trend explains a substantial share of UK...

We investigate the role of macroeconomic shocks in driving equity price dynamics, focusing in particular on the United Kingdom as a small open economy. Using a vector error correction model estimated on 34 macroeconomic and financial time series, we show that shocks to demand, supply, monetary...

DSGE models are of interest because they offer structural interpretations, but are also increasingly used for forecasting. Estimation often proceeds by methods which involve building the likelihood by one-step ahead (h=1) prediction errors. However in principle this can be done using different...

This paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the US data set constructed by Smets and Wouters. We use an indirect inference method to map from this TV VAR to time variation in implied Dynamic Stochastic General Equilibrium...

This paper uses a vector autoregression model estimated with Bayesian methods to identify the effect of productivity news shocks on labour market variables by imposing that they are orthogonal to current technology but they explain future observed technology. In the aftermath of a positive news...