IDEAS home Printed from https://ideas.repec.org/p/zbw/fubsbe/20229.html
   My bibliography  Save this paper

Time-varying credibility, anchoring and the Fed's inflation target

Author

Listed:
  • Diegel, Max

Abstract

This paper analyzes the time-varying credibility of the Fed's inflation target in an empirical macro model with asymmetric information, where the public has to learn about the actual inflation target from the Fed's interest rate policy. To capture the evolving communication strategy of the Fed, I allow the learning rule and the structural shock variances to change across monetary policy regimes. I find that imperfect credibility is pronounced during the Volcker Disinflation and to a lesser extend in the aftermath of the 2008 Financial Crisis. The announcement of the 2% target in 2012 did not affect the learning rule strongly but reduced the variance of transitory monetary policy shocks. The results caution against equating long-term inflation expectations of professionals with the perceived inflation target.

Suggested Citation

  • Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
  • Handle: RePEc:zbw:fubsbe:20229
    DOI: 10.17169/refubium-36967
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/267907/1/1830203517.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.17169/refubium-36967?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. S. Boragan Aruoba & Frank Schorfheide, 2011. "Sticky Prices versus Monetary Frictions: An Estimation of Policy Trade-Offs," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 60-90, January.
    2. Erceg, Christopher J. & Levin, Andrew T., 2003. "Imperfect credibility and inflation persistence," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 915-944, May.
    3. David E. Lindsey & Athanasios Orphanides & Robert H. Rasche, 2013. "The Reform of October 1979: How It Happened and Why," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 487-542.
    4. Angelia L. Grant & Joshua C.C. Chan, 2017. "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 525-552, March.
    5. Coibion, Olivier & Gorodnichenko, Yuriy & Kumar, Saten & Pedemonte, Mathieu, 2020. "Inflation expectations as a policy tool?," Journal of International Economics, Elsevier, vol. 124(C).
    6. 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.
    7. Del Negro, Marco & Eusepi, Stefano, 2011. "Fitting observed inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2105-2131.
    8. Marvin Goodfriend, 2007. "How the World Achieved Consensus on Monetary Policy," Journal of Economic Perspectives, American Economic Association, vol. 21(4), pages 47-68, Fall.
    9. Elmar Mertens & James M. Nason, 2020. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, vol. 11(4), pages 1485-1520, November.
    10. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Monetary Policy, Trend Inflation, and the Great Moderation: An Alternative Interpretation," American Economic Review, American Economic Association, vol. 101(1), pages 341-370, February.
    11. Cukierman, Alex & Meltzer, Allan H, 1986. "A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information," Econometrica, Econometric Society, vol. 54(5), pages 1099-1128, September.
    12. Michael T. Belongia & Peter N. Ireland, 2016. "Money and Output: Friedman and Schwartz Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1223-1266, September.
    13. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
    14. Chan, Joshua C.C. & Grant, Angelia L., 2016. "Fast computation of the deviance information criterion for latent variable models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 847-859.
    15. Vasco M. Carvalho & Andrew C. Harvey, 2005. "Convergence in the trends and cycles of Euro‐zone income," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 275-289.
    16. Chan, Joshua C.C. & Grant, Angelia L., 2015. "Pitfalls of estimating the marginal likelihood using the modified harmonic mean," Economics Letters, Elsevier, vol. 131(C), pages 29-33.
    17. Joshua C. C. Chan & Eric Eisenstat, 2015. "Marginal Likelihood Estimation with the Cross-Entropy Method," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 256-285, March.
    18. Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018. "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
    19. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
    20. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    21. Taeyoung Doh & Amy Oksol, 2018. "Has the Anchoring of Inflation Expectations Changed in the United States during the Past Decade?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 31-58.
    22. Milani, Fabio, 2020. "Learning And The Evolution Of The Fed’S Inflation Target," Macroeconomic Dynamics, Cambridge University Press, vol. 24(8), pages 1904-1923, December.
    23. Kozicki, Sharon & Tinsley, P.A., 2005. "Permanent and transitory policy shocks in an empirical macro model with asymmetric information," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1985-2015, November.
    24. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    25. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    26. Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2014. "Policy Rules, Regime Switches, And Trend Inflation: An Empirical Investigation For The United States," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 920-942, June.
    Full references (including those not matched with items on IDEAS)

    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. Qazi Haque, 2022. "Monetary Policy, Inflation Target, and the Great Moderation: An Empirical Investigation," International Journal of Central Banking, International Journal of Central Banking, vol. 18(4), pages 1-52, October.
    2. Qazi Haque, 2017. "Monetary Policy, Target Inflation and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-10, University of Adelaide, School of Economics and Public Policy.
    3. Haroon Mumtaz & Konstantinos Theodoridis, 2023. "The Federal Reserve'S Implicit Inflation Target And Macroeconomic Dynamics: An Svar Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1749-1775, November.
    4. Zamarripa, Rene, 2021. "Estimating the Bank of Mexico’s reaction function in the last three decades: A Bayesian DSGE approach with rolling-windows," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    5. Francesco Bianchi & Leonardo Melosi, 2018. "Constrained Discretion and Central Bank Transparency," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 187-202, March.
    6. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, frictions, or monetary policy?," FRB Atlanta Working Paper 2009-03, Federal Reserve Bank of Atlanta.
    7. J. Scott Davis, 2012. "The effect of commodity price shocks on underlying inflation: the role of central bank credibility," Globalization Institute Working Papers 134, Federal Reserve Bank of Dallas.
    8. Lukmanova, Elizaveta & Rabitsch, Katrin, 2023. "Evidence on monetary transmission and the role of imperfect information: Interest rate versus inflation target shocks," European Economic Review, Elsevier, vol. 158(C).
    9. Acocella, Nicola & Di Bartolomeo, Giovanni & Tirelli, Patrizio, 2015. "U.S. Trend Inflation Reinterpreted: The Role Of Fiscal Policies And Time-Varying Nominal Rigidities," Macroeconomic Dynamics, Cambridge University Press, vol. 19(6), pages 1294-1308, September.
    10. Carrillo, Julio A. & Peersman, Gert & Wauters, Joris, 2022. "Endogenous wage indexation and aggregate shocks," Journal of Macroeconomics, Elsevier, vol. 72(C).
    11. Guido Ascari & Argia M. Sbordone, 2014. "The Macroeconomics of Trend Inflation," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 679-739, September.
    12. Giovanni Nicolo, 2020. "Monetary Policy, Self-Fulfilling Expectations and the U.S. Business Cycle," Finance and Economics Discussion Series 2020-035, Board of Governors of the Federal Reserve System (U.S.).
    13. Lhuissier, Stéphane & Zabelina, Margarita, 2015. "On the stability of Calvo-style price-setting behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 77-95.
    14. Henzel, Steffen R., 2013. "Fitting survey expectations and uncertainty about trend inflation," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 172-185.
    15. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
    16. Francesco Bianchi & Leonardo Melosi, 2016. "Modeling The Evolution Of Expectations And Uncertainty In General Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 717-756, May.
    17. Guido Ascari & Paolo Bonomolo & Qazi Haque, 2023. "The Long-Run Phillips Curve is ... a Curve," Working Papers 789, DNB.
    18. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Monetary Policy, Trend Inflation, and the Great Moderation: An Alternative Interpretation," American Economic Review, American Economic Association, vol. 101(1), pages 341-370, February.
    19. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "How optimal is US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 96-111.
    20. Haque, Qazi & Groshenny, Nicolas & Weder, Mark, 2021. "Do we really know that U.S. monetary policy was destabilizing in the 1970s?," European Economic Review, Elsevier, vol. 131(C).

    More about this item

    Keywords

    signal extraction problem; credibility; inflation target; unobserved components; VAR;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:fubsbe:20229. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/fwfubde.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.