How much have the dynamics of US time series and in the particular the transmission of innovations to monetary policy instruments changed over the last century? The answers to these questions that this paper gives are "A lot." and "Probably less than you think.", respectively. We use vector...

How much have the dynamics of U.S. time series changed over the last century? Has the evolution of the Federal Reserve as an institution over the 100 years altered the transmission of monetary policy shocks? To tackle these questions, we build a multivariate time series model with time-varying...

Bayesian inference is common in models with many parameters, such as large VAR models, models with time-varying parameters, or large DSGE models. A common practice is to focus on prior distributions that themselves depend on relatively few hyperparameters. The choice of these hyperparameters is...

Should policymakers and applied macroeconomists worry about the difference between real-time and final data? We tackle this question by using a VAR with time-varying parameters and stochastic volatility to show that the distinction between real-time data and final data matters for the impact of...

How much have the dynamics of U.S. time series and in particular the transmission of innovations to monetary policy instruments changed over the last century? The answers to these questions that this paper gives are "a lot" and "probably less than you think," respectively. We use vector...

How much have the dynamics of US time series and in the particular the transmission of innovations to monetary policy instruments changed over the last century? The answers to these questions that this paper gives are "A lot." and "Probably less than you think.", respectively. We use vector...

How much have the dynamics of US time series and in the particular the transmission of innovations to monetary policy instruments changed over the last century? The answers to these questions that this paper gives are "A lot." and "Probably less than you think.", respectively. We use vector...

We analyze set identification in Bayesian vector autoregressions (VARs). Because set identification can be challenging, we propose to include micro data on heterogeneous entities to sharpen inference. First, we provide conditions when imposing a simple ranking of impulse-responses sharpens...