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Inflation, slack, and Fed credibility

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  • Tyler Atkinson
  • Evan F. Koenig

Abstract

It is generally agreed that slack has some impact on inflation. There is much less agreement on what form the relationship takes and whether it is stable enough to reliably help predict inflation. This analysis focuses on the Great Moderation period. We find that slack (as measured by the unemployment rate) and changes in slack are negatively correlated with changes in inflation and also deviations of inflation from long-forward inflation expectations.> ; These relationships could have been exploited to produce forecasts of trimmed mean PCE inflation more accurate than rule-of-thumb forecasts. Forecasts of trimmed mean PCE inflation also serve well as predictions of GDP inflation and headline PCE inflation. Our analysis suggests that currently high levels of slack should hold inflation below two percent over 2012.

Suggested Citation

  • Tyler Atkinson & Evan F. Koenig, 2012. "Inflation, slack, and Fed credibility," Staff Papers, Federal Reserve Bank of Dallas, issue Jan.
  • Handle: RePEc:fip:feddst:y:2012:i:jan:n:16
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    References listed on IDEAS

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    1. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    2. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    3. McCallum, Bennett T., 1994. "A semi-classical model of price-level adjustment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41(1), pages 251-284, December.
    4. Robert J. Gordon, 1997. "The Time-Varying NAIRU and Its Implications for Economic Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 11-32, Winter.
    5. James H. Stock & Mark W. Watson, 2010. "Modeling inflation after the crisis," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 173-220.
    6. Jim Dolmas, 2005. "A fitter, trimmer core inflation measure," Southwest Economy, Federal Reserve Bank of Dallas, issue May, pages 1,4-9.
    7. Evan F. Koenig, 1996. "Aggregate price adjustment: the Fischerian alternative," Working Papers 9615, Federal Reserve Bank of Dallas.
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    Cited by:

    1. Jim Dolmas & Evan F. Koenig, 2019. "Two Measures of Core Inflation: A Comparison," Review, Federal Reserve Bank of St. Louis, vol. 101(4).
    2. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    3. N. Kundan Kishor & Evan F. Koenig, 2016. "The roles of inflation expectations, core inflation, and slack in real-time inflation forecasting," Working Papers 1613, Federal Reserve Bank of Dallas.
    4. Anton A. Cheremukhin, 2013. "Estimating the output gap in real time," Staff Papers, Federal Reserve Bank of Dallas, issue Dec.

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