Why Has U.S. Inflation Become Harder to Forecast?

64 Pages Posted: 14 Jul 2006 Last revised: 6 Mar 2022

See all articles by James H. Stock

James H. Stock

Harvard University - Department of Economics; National Bureau of Economic Research (NBER); Harvard University - Harvard Kennedy School (HKS)

Mark W. Watson

Princeton University - Princeton School of Public and International Affairs; National Bureau of Economic Research (NBER)

Date Written: June 2006

Abstract

Forecasts of the rate of price inflation play a central role in the formulation of monetary policy, and forecasting inflation is a key job for economists at the Federal Reserve Board. This paper examines whether this job has become harder and, to the extent that it has, what changes in the inflation process have made it so. The main finding is that the univariate inflation process is well described by an unobserved component trend-cycle model with stochastic volatility or, equivalently, an integrated moving average process with time-varying parameters; this model explains a variety of recent univariate inflation forecasting puzzles. It appears currently to be difficult for multivariate forecasts to improve on forecasts made using this time-varying univariate model.

Suggested Citation

Stock, James H. and Watson, Mark W., Why Has U.S. Inflation Become Harder to Forecast? (June 2006). NBER Working Paper No. w12324, Available at SSRN: https://ssrn.com/abstract=912434

James H. Stock (Contact Author)

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Mark W. Watson

Princeton University - Princeton School of Public and International Affairs ( email )

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