IDEAS home Printed from https://ideas.repec.org/p/ucm/doicae/1819.html
   My bibliography  Save this paper

Disentangling permanent and transitory monetary shocks with a non-linear Taylor rule

Author

Listed:
  • J. A. Lafuente

    (Universitat Jaume I .)

  • R. Pérez

    ( Universidad Complutense and ICAE.)

  • J. Ruiz

    (Universidad Complutense and ICAE.)

Abstract

This paper provides an estimation method to decompose monetary policy innovations into persistent and transitory components using the non-linear Taylor rule proposed in Andolfatto et al. [Journal of Monetary Economics 55 (2008) 406–422]. In order to use the Kalman filter as the optimal signal extraction technique we use a convenient reformulation for the state equation by allowing expectations play in significant role in explaining the future time evolution of monetary shocks. This alternative formulation allows us to perform the maximum likelihood estimation for all the parameters involved in the monetary policy. Empirical evidence on US monetary policy making is provided for the period 1980-2011. We compare our empirical estimates with those obtained based on the particle filter. While both procedures lead to similar quantitative and qualitative findings, our approach has much less computational cost.

Suggested Citation

  • J. A. Lafuente & R. Pérez & J. Ruiz, 2018. "Disentangling permanent and transitory monetary shocks with a non-linear Taylor rule," Documentos de Trabajo del ICAE 2018-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Handle: RePEc:ucm:doicae:1819
    as

    Download full text from publisher

    File URL: https://eprints.ucm.es/id/eprint/49145/1/1819.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Mehdi Mostaghimi, 2004. "Monetary policy, composite leading economic indicators and predicting the 2001 recession," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 463-477.
    3. 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.
    4. 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.
    5. Ben S. Bernanke, 2010. "Monetary policy and the housing bubble: a speech at the Annual Meeting of the American Economic Association, Atlanta, Georgia, January 3, 2010," Speech 499, Board of Governors of the Federal Reserve System (U.S.).
    6. Fabio Milani & John Treadwell, 2012. "The Effects of Monetary Policy “News” and “Surprises”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1667-1692, December.
    7. Orphanides, Athanasios, 2003. "Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 983-1022, July.
    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. 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.
    3. 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.
    4. Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
    5. 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.
    6. Orphanides, Athanasios & Williams, John C., 2005. "The decline of activist stabilization policy: Natural rate misperceptions, learning, and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1927-1950, November.
    7. Cúrdia, Vasco & Ferrero, Andrea & Ng, Ging Cee & Tambalotti, Andrea, 2015. "Has U.S. monetary policy tracked the efficient interest rate?," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 72-83.
    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. Milani, Fabio, 2017. "Sentiment and the U.S. business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 289-311.
    10. Gavin, William T. & Kydland, Finn E. & Pakko, Michael R., 2007. "Monetary policy, taxes, and the business cycle," Journal of Monetary Economics, Elsevier, vol. 54(6), pages 1587-1611, September.
    11. Olivier Coibion & Yuriy Gorodnichenko & Johannes Wieland, 2012. "The Optimal Inflation Rate in New Keynesian Models: Should Central Banks Raise Their Inflation Targets in Light of the Zero Lower Bound?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(4), pages 1371-1406.
    12. Sharon Kozicki & P. Tinsley, 2006. "Minding the Gap: Central Bank Estimates of the Unemployment Natural Rate," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 295-327, May.
    13. Arbex, Marcelo & Caetano, Sidney & Correa, Wilson, 2019. "Macroeconomic effects of inflation target uncertainty shocks," Economics Letters, Elsevier, vol. 181(C), pages 111-115.
    14. Max Gillman & Michal Kejak & Giulia Ghiani, 2014. "Money, Banking and Interest Rates: Monetary Policy Regimes with Markov-Switching VECM Evidence," CEU Working Papers 2014_3, Department of Economics, Central European University.
    15. Meredith Beechey & Pär Österholm, 2012. "The Rise and Fall of U.S. Inflation Persistence," International Journal of Central Banking, International Journal of Central Banking, vol. 8(3), pages 55-86, September.
    16. Efrem Castelnuovo & Paolo Surico, 2005. "The Price Puzzle and Indeterminacy," Macroeconomics 0507021, University Library of Munich, Germany.
    17. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    18. Scott C. Patrick, 2020. "How Much Better Is Commitment Policy Than Discretionary Policy? Evidence From Six Developed Economies," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(2), pages 1-28, June.
    19. Olivier Coibion & Yuriy Gorodnichenko, 2012. "Why Are Target Interest Rate Changes So Persistent?," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(4), pages 126-162, October.
    20. Efrem Castelnuovo & Paolo Surico, 2005. "The Price Puzzle: Fact or Artefact?," Macroeconomics 0505015, University Library of Munich, Germany, revised 19 Jul 2005.

    More about this item

    Keywords

    Monetary shocks; Kalman filter; Particle filter; Taylor rule.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:ucm:doicae:1819. 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: Águeda González Abad (email available below). General contact details of provider: https://edirc.repec.org/data/feucmes.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.