This paper presents a range of unobserved components models to study productivity dynamics in the United Kingdom. We introduce a set of univariate and bivariate models that allow for shocks between the trend and the cycle to be correlated, and use Bayesian sampling techniques to estimate the...

We present a new method for estimating Bayesian vector auto-regression (VAR) models using priors from a dynamic stochastic general equilibrium (DSGE) model. We use the DSGE model priors to determine the moments of an independent Normal-Wishart prior for the VAR parameters. Two hyper-parameters...

We propose a mixed‑frequency regression prediction approach that models a time‑varying trend, stochastic volatility and fat tails in the variable of interest. The coefficients of high‑frequency indicators are regularised via a shrinkage prior that accounts for the grouping structure and...

Motivated by the desire to probe macroeconomic tail events and to capture non-linear economic dynamics, we estimate two types of regime switching models: threshold VAR and Markov switching VAR. For each of the models, we estimate regimes which carry the interpretation of recessionary/normal and...

This paper considers the implications for the United States, the United Kingdom and the rest of the world (ROW) of shocks that may contribute to a further reduction in global current account imbalances using a dynamic stochastic general equilibrium (DSGE) model. We consider a shock that...

Long-term real interest rates across the world have fallen by about 450 basis points over the past 30 years. The co-movement in rates across both advanced and emerging economies suggests a common driver: the global neutral real rate may have fallen. In this paper we attempt to identify which...

The UK economy has experienced significant macroeconomic adjustments following the 2016 referendum on its withdrawal from the European Union. This paper develops and estimates a small open economy model with tradable and non-tradable sectors to characterise these adjustments. We demonstrate that...

This paper studies the effects of macroeconomic shocks on business investment in the United Kingdom by filtering a large UK firm-level based dataset of financial accounts into macro-level proxy indicators, and then using these indicators in a Bayesian vector autoregression framework to analyse...

This paper identifies shocks to credit conditions based on aggregate firms' debt composition. I develop a model where firms fund production with bonds and loans. Only financial shocks imply opposite movements in the two types of debt as firms adjust their debt composition to new credit...

We discuss combining sign restrictions with information in external instruments (proxy variables) to identify structural vector autoregressive (SVAR) models. In one setting, we assume the availability of valid external instruments. Sign restrictions may then be used to identify further...