We study the driving forces of fluctuations in an estimated New Neoclassical Synthesis model of the U.S. economy with several shocks and frictions. In this model, shocks to the marginal efficiency of investment account for the bulk of fluctuations in output and hours at business cycle...

Not in an estimated DSGE model of the US economy, once we account for the fact that most of the high-frequency volatility in wages appears to be due to noise, rather than to variation in workers' preferences or market power

This paper illustrates how to handle a sequence of extreme observations--such as those recorded during the COVID-19 pandemic--when estimating a Vector Autoregression, which is the most popular time-series model in macroeconomics. Our results show that the ad-hoc strategy of dropping these...

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....