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Is unemployment helpful in understanding inflation?

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  • Taeyoung Doh

Abstract

The simultaneous decline of core inflation with the increase in the unemployment rate during the recession of 2007-09 has renewed debate about the use of economic slack, such as unemployment, for predicting inflation. Doh examines the relationship between cyclical fluctuations in inflation and unemployment and finds that the relationship varies over time and tends to be stronger and more significant during recessions and early in recoveries than during mature expansions. The empirical results also suggest the trend component of unemployment increases more in a weak recovery than a rapid recovery, resulting in less downward pressure on inflation. Hence, carefully assessing the size of the cyclical component of unemployment is important for understanding inflation dynamics.

Suggested Citation

  • Taeyoung Doh, 2011. "Is unemployment helpful in understanding inflation?," Economic Review, Federal Reserve Bank of Kansas City, vol. 96(Q IV), pages 5-26.
  • Handle: RePEc:fip:fedker:y:2011:i:qiv:p:5-26:n:v.96no.4
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    File URL: https://www.kansascityfed.org/documents/941/2011-Is%20Unemployment%20Helpful%20in%20Understanding%20Inflation%3F%20.pdf
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    References listed on IDEAS

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    1. Michael Dotsey & Shigeru Fujita & Tom Stark, 2018. "Do Phillips Curves Conditionally Help to Forecast Inflation?," International Journal of Central Banking, International Journal of Central Banking, vol. 14(4), pages 43-92, September.
    2. Peter N. Ireland, 2007. "Changes in the Federal Reserve's Inflation Target: Causes and Consequences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 1851-1882, December.
    3. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    4. 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.
    5. Todd E. Clark & Taeyoung Doh, 2011. "A Bayesian evaluation of alternative models of trend inflation," Working Papers (Old Series) 1134, Federal Reserve Bank of Cleveland.
    6. Robert E. Hall, 2011. "The Long Slump," American Economic Review, American Economic Association, vol. 101(2), pages 431-469, April.
    7. Zheng Liu & Glenn D. Rudebusch, 2010. "Inflation: mind the gap," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue jan19.
    8. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
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    Cited by:

    1. Troy Davig & Michael Redmond, 2014. "Accounting for changes in the U.S. budget deficit," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-2, December.

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    Keywords

    Inflation (Finance); Unemployment;

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