The New York Fed Staff Underlying Inflation Gauge (UIG)

32 Pages Posted: 20 Dec 2017

See all articles by Marlene Amstad

Marlene Amstad

The Chinese University of Hong Kong, Shenzhen; Harvard Kennedy School

Simon Potter

Peterson Institute for International Economics

Robert W. Rich

Federal Reserve Bank of Cleveland

Date Written: 2017

Abstract

A measure of underlying inflation that uses all relevant information, is available in real time, and forecasts inflation better than traditional underlying inflation measures—such as core inflation measures—would greatly benefit monetary policymakers, market participants, and the public. This article presents the New York Fed Staff Underlying Inflation Gauge (UIG) for the consumer price index and the personal consumption expenditures deflator. Using a dynamic factor model approach, the UIG is derived from a broad data set that extends beyond price series to include a wide range of nominal, real, and financial variables. This modeling approach also makes it possible to combine information simultaneously from the cross-sectional and time dimensions of the sample in a unified framework. In addition, the UIG can be updated on a daily basis to closely monitor changes in underlying inflation—a feature that is especially useful when sudden and large economic fluctuations occur, as was the case during the 2008 global financial crisis. Lastly, the UIG displays greater forecast accuracy than many measures of core inflation. Editor’s note: This article’s data appendix has been updated to reflect the removal of a duplicate price series (CPI-U: Other fresh vegetables). The article’s conclusions remain the same. (December 2017)

Keywords: inflation, dynamic factor models, core inflation, monetary policy, forecasting

JEL Classification: C13, C38, C55, E31, E37

Suggested Citation

Amstad, Marlene and Amstad, Marlene and Potter, Simon and Rich, Robert W., The New York Fed Staff Underlying Inflation Gauge (UIG) (2017). Economic Policy Review, Issue 23-2, pp. 1-32, 2017, Available at SSRN: https://ssrn.com/abstract=3090327

Marlene Amstad (Contact Author)

The Chinese University of Hong Kong, Shenzhen ( email )

Harvard Kennedy School ( email )

79 John F. Kennedy Street
Cambridge, MA 02138
United States

Simon Potter

Peterson Institute for International Economics ( email )

1750 Massachusetts Avenue, NW
Washington, DC 20036
United States

Robert W. Rich

Federal Reserve Bank of Cleveland ( email )

East 6th & Superior
Cleveland, OH 44101-1387
United States
216 579-2928 (Phone)

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