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...

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...

Economic theories are often encoded in equilibrium models that cannot be directly estimated because they lack features that, while inessential to the theoretical mechanism that is central to the specific theory, would be essential to fit the data well. We propose an econometric approach that...

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...

We specify a simple search and matching model of the aggregate labor market allowing for productivity-driven changes in match efficiency. This mechanism leads to shifts in the Beveridge curve that are broadly consistent with the pattern observed in the United States. We simulate data from the...