We compare sparse and dense representations of predictive models in macroeconomics, microeconomics, and finance. To deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage. The posterior distribution does not typically concentrate...

This paper provides an explanation for the run-up of U.S. inflation in the 1960s and 1970s and the sharp disinflation in the early 1980s, which standard macroeconomic models have difficulties in addressing. I present a model in which rational policymakers learn about the behavior of the economy...

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....

We use a quantitative equilibrium model with houses, collateralized debt and foreign borrowing to study the impact of global imbalances on the U.S. economy in the 2000s. Our results suggest that the dynamics of foreign capital flows account for between one fourth and one third of the increase in...

"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"--National Bureau of Economic Research web site