The rise in inflation in 2021-22 sparked a growing literature and debate over the causes of the surge as well as the near- and medium-term path for inflation. This review offers three key messages. First, the exceptional nature of shocks resulting from the COVID-19 pandemic and geopolitical...

For most of 2011-19, inflation in Canada and advanced economies registered below inflation targets. This has spurred a debate on whether "lowflation" is a temporary phenomenon or rather a sign of a fundamental change in inflation behaviour-in Canada and globally. So far, we know little. Global...

For most of 2011-19, inflation in Canada and advanced economies registered below inflation targets. This has spurred a debate on whether "lowflation" is a temporary phenomenon or rather a sign of a fundamental change in inflation behaviour-in Canada and globally. So far, we know little. Global...

We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a large dataset of disaggregated industrial production series for the US economy. Our results...

We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a large dataset of disaggregated industrial production series for the US economy. Our results...

We consider structural vector autoregressions identified through stochastic volatility. Our focus is on whether a particular structural shock is identified by heteroskedasticity without the need to impose any sign or exclusion restrictions. Three contributions emerge from our exercise: (i) a set...

Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood. This...

We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence - contemporaneously and with a lag - the dynamics of the intercept and autoregressive coefficients in these models. An estimation algorithm...

We distinguish between the goods and services sectors in an otherwise standard unobserved components model of US inflation. Our main finding is that, while both sectors used to contribute to the overall variation in aggregate trend inflation, since the 1990s this variation has been driven almost...