Phillips Curve Inflation Forecasts

84 Pages Posted: 15 Sep 2008 Last revised: 21 Aug 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: September 2008

Abstract

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 empirical results are gloomy and indicate that Phillips curve forecasts (broadly interpreted as forecasts using an activity variable) are better than other multivariate forecasts, but their performance is episodic, sometimes better than and sometimes worse than a good (not naïve) univariate benchmark. We provide some preliminary evidence characterizing successful forecasting episodes.

Suggested Citation

Stock, James H. and Watson, Mark W., Phillips Curve Inflation Forecasts (September 2008). NBER Working Paper No. w14322, Available at SSRN: https://ssrn.com/abstract=1267553

James H. Stock (Contact Author)

Harvard University - Department of Economics ( email )

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Harvard University - Harvard Kennedy School (HKS) ( email )

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Mark W. Watson

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

Princeton University
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United States

National Bureau of Economic Research (NBER)

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United States

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