Two often-divergent U.S. GDP estimates are available, a widely-used expenditure side version, GDPE, and a much less widely-used income-side version GDPI . We propose and explore a "forecast combination" approach to combining them. We then put the theory to work, producing a superior combined...

This paper investigates forecasts of U.S. inflation at the 12-month horizon. The starting point is the conventional unemployment rate Phillips curve, which is examined in a simulated out of sample forecasting framework. Inflation forecasts produced by the Phillips curve generally have been more...

This paper surveys the literature since 1993 on pseudo out-of-sample evaluation of inflation forecasts in the United States and conducts an extensive empirical analysis that recapitulates and clarifies this literature using a consistent data set and methodology. The literature review and...

We introduce a novel method for estimating a monetary policy rule using macroeconomic news. We estimate directly the policy rule agents use to form their expectations by linking news' effects on forecasts of both economic conditions and monetary policy. Evidence between 1994 and 2007 indicates...

We show that bond risk-premia rise with uncertainty about expected inflation and fall with uncertainty about expected growth; the magnitude of return predictability using these two uncertainty measures is similar to that by multiple yields. Motivated by this evidence, we develop and estimate a...

We compare the causal effects of forward guidance communication about future interest rates on households' expectations of inflation, mortgage rates, and unemployment to the effects of communication about future inflation in a randomized controlled trial using more than 25,000 U.S. individuals...