The Beveridge-Nelson (BN) trend-cycle decomposition based on autoregressive forecasting models of U.S. quarterly real GDP growth produces estimates of the output gap that are strongly at odds with widely-held beliefs about the amplitude, persistence, and even sign of transitory movements in...

We demonstrate how Bayesian shrinkage can address problems with utilizing large information sets to calculate trend and cycle via a multivariate Beveridge-Nelson (BN) decomposition. We illustrate our approach by estimating the U.S. output gap with large Bayesian vector autoregressions that...

We consider which labor market variables are the most informative for estimating and now-casting the U.S. output gap using a multivariate trend-cycle decomposition. Although the unemployment rate clearly contains important cyclical information, it also appears to reflect more persistent...

We propose a way to directly nowcast the output gap using the Beveridge-Nelson decomposition based on a mixed-frequency Bayesian VAR. The mixed-frequency approach produces similar but more timely estimates of the U.S. output gap compared to those based on a quarterly model, the CBO measure of...

Analysis of the Michigan Survey data confirms U.S. inflation expectations are not perfectly anchored in the event of an oil price shock. Two key results emerge through counterfactual analysis. First, better anchoring of inflation expectations can ameliorate the mild inflation impact which occurs...

Half-lives are summary measures of persistence, and are usually characterized from impulse response functions (IRFs) of univariate time series models. Two issues which occur with half-life characterization in multivariate time series are IRFs become conditional on specific shocks and are often...

We highlight how detrending within Structural Vector Autoregressions (SVAR) is directly linked to the shock identification. Consequences of trend misspecification are investigated using a prototypical Real Business Cycle model as the Data Generating Process. Decomposing the different sources of...

Life-cycle theory predicts ageing exerting long-term macroeconomic impacts through the reduction of private savings. However, empirical research studying macroeconomic determinants of savings generally regard age dependency as the sole measure of ageing, but overlook longevity, which can also...

We study how financial factors shape and interact with the U.S. business cycle through a unified empirical approach where we jointly estimate financial and business cycles as well as identify their underlying drivers using a medium-scale Bayesian Vector Autoregression. First, we show, both in...

We develop an empirical model to study the influence of global factors in driving trend inflation and the inflation gap. We apply our model to 7 developed economies and 21 emerging market economies. Our results suggest that while global factors can have a sizeable influence on the inflation gap,...