This paper proposes quantifying the evolution of the U.S. output-inflation tradeoff using a Time-Varying Parameter Structural VAR. This methodology circumvents issues with existing methods which tend to be either reduced form in nature or rely on more ad hoc assumptions regarding sample split...

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...

This paper presents evidence on why inflation pass-through from oil shocks in the 21st century relative to the 1970s has dampened. First, results suggest global business cycle demand driven oil shocks are not inflationary. Second, there has been a reduction in inflation pass-through from oil...

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...

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,...

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...

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...

The historical decomposition is standard within the vector autogression (VAR) toolkit. It provides an interpretation of historical fluctuations in the modelled time series through the lens of the identified structural shocks. The proliferation of nonlinear VAR models naturally leads to extending...