We propose a Bayesian procedure for exploiting small, possibly long-lag linear predictability in the innovations of a finite order autoregression. We model the innovations as having a log-spectral density that is a continuous mean-zero Gaussian process of order 1/√T. This local embedding makes...

There is a fast growing literature that partially identifies structural vector autoregressions (SVARs) by imposing sign restrictions on the responses of a subset of the endogenous variables to a particular structural shock (sign-restricted SVARs). To date, the methods that have been used are...

There seems to be a widespread belief among economists, policy-makers, and members of the media that the "confidence'" of households and businesses is a critical component in the transmission of fiscal policy shocks into economic activity. We take this proposition to the data using standard...

This paper studies the small estimated effects of monetary policy shocks from standard VAR's versus the large effects from the Romer and Romer (2004) approach. The differences are driven by three factors: the different contractionary impetus, the period of reserves targeting and lag length...

Vector autoregressions (VARs) are flexible time series models that can capture complex dynamic interrelationships among macroeconomic variables. However, their dense parameterization leads to unstable inference and inaccurate out-of-sample forecasts, particularly for models with many variables....

This paper develops a vector autoregression (VAR) for time series which are observed at mixed frequencies - quarterly and monthly. The model is cast in state-space form and estimated with Bayesian methods under a Minnesota-style prior. We show how to evaluate the marginal data density to...

We use LASSO methods to shrink, select and estimate the high-dimensional network linking the publicly-traded subset of the world's top 150 banks, 2003-2014. We characterize static network connectedness using full-sample estimation and dynamic network connectedness using rolling-window...

We study the consequences of protectionism for macroeconomic fluctuations. First, using high-frequency trade policy data, we present fresh evidence on the dynamic effects of temporary trade barriers. Estimates from country-level and panel VARs show that protectionism acts as a supply shock,...

We present a new automated, objective and intuitive scoring technique to measure the content of central bank communication about future interest rate decisions based on information from the Internet and news sources. We apply the methodology to statements released by the Federal Open Market...

We explore empirically models of aggregate fluctuations with two basic ingredients: agents form anticipations about the future based on noisy sources of information; these anticipations affect spending and output in the short run. Our objective is to separate fluctuations due to actual changes...