IDEAS home Printed from https://ideas.repec.org/a/fip/fedpbr/y2011iq1p17-25.html
   My bibliography  Save this article

Inflation dynamics and the New Keynesian Phillips curve

Author

Listed:
  • Keith Sill

Abstract

A 1977 amendment to the Federal Reserve Act states that the Fed?s mandate is ?to promote effectively the goals of maximum employment, stable prices, and moderate long-term interest rates.? Moderate long-term interest rates require low and stable inflation. Monetary policymakers use instruments such as a short-term interest rate to guide the economy with the aim of achieving an inflation objective. To help guide their decisions, monetary policymakers benefit from having a reliable theory of how inflation is determined, one that relates the setting of their instrument to the unexpected events that hit the economy and consequently to the rate of inflation and other economic variables. In ?Inflation Dynamics and the New Keynesian Phillips Curve,? Keith Sill examines a prominent theory of how inflation is determined, as articulated in what is called the New Keynesian Phillips curve. He also investigates some of the implications of the theory for the conduct of monetary policy.

Suggested Citation

  • Keith Sill, 2011. "Inflation dynamics and the New Keynesian Phillips curve," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 17-25.
  • Handle: RePEc:fip:fedpbr:y:2011:i:q1:p:17-25
    as

    Download full text from publisher

    File URL: https://www.philadelphiafed.org/-/media/frbp/assets/economy/articles/business-review/2011/q1/brq111_inflation-dynamics-phillips-curve.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    2. Schmitt-Grohe, Stephanie & Uribe, Martin, 2007. "Optimal simple and implementable monetary and fiscal rules," Journal of Monetary Economics, Elsevier, vol. 54(6), pages 1702-1725, September.
    3. Luca Benati, 2008. "Investigating Inflation Persistence Across Monetary Regimes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(3), pages 1005-1060.
    4. Brunner, Karl & Meltzer, Allan H., 1976. "The Phillips curve," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 1-18, January.
    5. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    6. Roc Armenter, 2011. "Output gaps: uses and limitation," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 1-8.
    7. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roc Armenter, 2011. "Output gaps: uses and limitation," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 1-8.
    2. Keith Kuester, 2011. "The effectiveness of government spending in deep recessions: a New Keynesian perspective," Business Review, Federal Reserve Bank of Philadelphia, issue Q3, pages 14-20.
    3. Michael Dotsey & Charles I. Plosser, 2012. "Designing monetary policy rules in an uncertain economic environment," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 1-9.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.
    2. McKnight, Stephen & Mihailov, Alexander & Rumler, Fabio, 2020. "Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend," Economic Modelling, Elsevier, vol. 87(C), pages 383-393.
    3. Ivan Kitov & Oleg Kitov, 2013. "Does Banque de France control inflation and unemployment?," Papers 1311.1097, arXiv.org.
    4. Simone Elmer & Thomas Maag, 2009. "The Persistence of Inflation in Switzerland," KOF Working papers 09-235, KOF Swiss Economic Institute, ETH Zurich.
    5. Oleg KITOV & Ivan KITOV, 2012. "A Win-Win Monetary Policy In Canada," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 6(6(18)/ Su), pages 160-176.
    6. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    7. Drissi, Ramzi & Ghassan, Hassan B., 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 93075, University Library of Munich, Germany, revised Apr 2019.
    8. Guglielmo Maria Caporale & Luis Alberiko Gil‐Alana & Tommaso Trani, 2022. "On the persistence of UK inflation: A long‐range dependence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 439-454, January.
    9. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502, Decembrie.
    10. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
    11. Argia M. Sbordone & Timothy Cogley, 2004. "A Search for a Structural Phillips Curve," Computing in Economics and Finance 2004 291, Society for Computational Economics.
    12. Altug, Sumru & Çakmaklı, Cem, 2016. "Forecasting inflation using survey expectations and target inflation: Evidence for Brazil and Turkey," International Journal of Forecasting, Elsevier, vol. 32(1), pages 138-153.
    13. Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2013. "Real-Time Inflation Forecasting in a Changing World," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 29-44, January.
    14. repec:zbw:bofrdp:2018_022 is not listed on IDEAS
    15. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza, 2022. "Inflation in the G7 countries: persistence and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 493-506, July.
    16. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    17. Daniel L. Thornton, 2009. "How did we get to inflation targeting and where do we go now? a perspective from the U.S. experience," Working Papers 2009-038, Federal Reserve Bank of St. Louis.
    18. Roccazzella, Francesco, 2019. "Credit market frictions and rational agents' myopia: Modeling financial frictions and shock to expectations in a DSGE setting estimated on Slovenian data," LIDAM Discussion Papers LFIN 2019004, Université catholique de Louvain, Louvain Finance (LFIN).
    19. Ivan Kitov & Oleg Kitov, 2013. "Inflation, unemployment, and labor force. Phillips curves and long-term projections for Japan," Papers 1309.1757, arXiv.org.
    20. Patrizio Tirelli & Maria Ferrara, 2020. "Disinflation, Inequality, And Welfare In A Tank Model," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1297-1313, July.
    21. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedpbr:y:2011:i:q1:p:17-25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Beth Paul (email available below). General contact details of provider: https://edirc.repec.org/data/frbphus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.