IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20202426.html
   My bibliography  Save this paper

Mitigating the forward guidance puzzle: inattention, credibility, finite planning horizons and learning

Author

Listed:
  • de Groot, Oliver
  • Mazelis, Falk

Abstract

This paper develops a simple, consistent methodology for generating empirically realistic forward guidance simulations using existing macroeconomic models by modifying expectations about policy announcements. The main advantage of our method lies in the exact preservation of all other shock transmissions. We describe four scenarios regarding how agents incorporate information about future interest rate announcements: “inattention”, “credibility”, “finite planning horizon”, and “learning”. The methodology consists of describing a single loading matrix that augments the equilibrium decision rules and can be applied to any standard DSGE, including large-scale policy-institution models. Finally, we provide conditions under which the forward guidance puzzle is resolved. JEL Classification: C63, E32, E52

Suggested Citation

  • de Groot, Oliver & Mazelis, Falk, 2020. "Mitigating the forward guidance puzzle: inattention, credibility, finite planning horizons and learning," Working Paper Series 2426, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20202426
    Note: 2712344
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2426~89ccf87cbc.en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Kiley, 2016. "Policy Paradoxes in the New-Keynesian Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 1-15, July.
    2. Åhl, Magnus, 2017. "How big is the toolbox of a central banker? Managing expectations with policy-rate forecasts: Evidence from Sweden," Working Paper Series 339, Sveriges Riksbank (Central Bank of Sweden).
    3. Carlstrom, Charles T. & Fuerst, Timothy S. & Paustian, Matthias, 2015. "Inflation and output in New Keynesian models with a transient interest rate peg," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 230-243.
    4. Alisdair McKay & Emi Nakamura & Jón Steinsson, 2016. "The Power of Forward Guidance Revisited," American Economic Review, American Economic Association, vol. 106(10), pages 3133-3158, October.
    5. 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.
    6. Sims, Christopher A, 2002. "Solving Linear Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
    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. Christoffel, Kai & de Groot, Oliver & Mazelis, Falk & Montes-Galdón, Carlos, 2020. "Using forecast-augmented VAR evidence to dampen the forward guidance puzzle," Working Paper Series 2495, European Central Bank.
    2. Gerke, Rafael & Giesen, Sebastian & Kienzler, Daniel, 2020. "Interest rate pegs and the reversal puzzle: On the role of anticipation," Discussion Papers 50/2020, Deutsche Bundesbank.
    3. de Groot, Oliver & Mazelis, Falk & Motto, Roberto & Ristiniemi, Annukka, 2021. "A toolkit for computing Constrained Optimal Policy Projections (COPPs)," Working Paper Series 2555, European Central Bank.
    4. Karel Musil & Stanislav Tvrz & Jan Vlcek, 2021. "News versus Surprise in Structural Forecasting Models: Central Bankers' Practical Perspective," Research and Policy Notes 2021/02, Czech National Bank.

    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. Nakata, Taisuke & Ogaki, Ryota & Schmidt, Sebastian & Yoo, Paul, 2019. "Attenuating the forward guidance puzzle: Implications for optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 90-106.
    2. Cole, Stephen J., 2020. "The influence of learning and price-level targeting on central bank forward guidance," Journal of Macroeconomics, Elsevier, vol. 65(C).
    3. Stephen J. Cole, 2020. "The Limits of Central Bank forward Guidance under Learning," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 199-250, September.
    4. Christopher Gibbs & Nigel McClung, 2023. "Does my model predict a forward guidance puzzle?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 393-423, December.
    5. Nicolas Caramp & Dejanir Silva, 2019. "Fiscal Origins of Monetary Paradoxes," 2019 Meeting Papers 1281, Society for Economic Dynamics.
    6. Gibbs, Christopher G. & McClung, Nigel, 2019. "Does my model predict a forward guidance puzzle?," Research Discussion Papers 19/2019, Bank of Finland.
    7. Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2017. "Forward Guidance And The State Of The Economy," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1593-1624, October.
    8. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    9. repec:zbw:bofrdp:2019_019 is not listed on IDEAS
    10. Cole, Stephen J. & Martínez-García, Enrique, 2023. "The effect of central bank credibility on forward guidance in an estimated New Keynesian model," Macroeconomic Dynamics, Cambridge University Press, vol. 27(2), pages 532-570, March.
    11. Florin O. Bilbiie, 2019. "Optimal Forward Guidance," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(4), pages 310-345, October.
    12. Jeffrey R. Campbell & Jonas D. M. Fisher & Alejandro Justiniano & Leonardo Melosi, 2017. "Forward Guidance and Macroeconomic Outcomes since the Financial Crisis," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 283-357.
    13. Stephen J. Cole, 2021. "Learning and the Effectiveness of Central Bank Forward Guidance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 157-200, February.
    14. Alisdair McKay & Emi Nakamura & Jón Steinsson, 2016. "The Power of Forward Guidance Revisited," American Economic Review, American Economic Association, vol. 106(10), pages 3133-3158, October.
    15. Haderer, Michaela, 2022. "An Estimated DSGE Model of the Euro Area with Expectations about the Timing and Nature of Liftoff from the Lower Bound," Working Papers 2022-05, University of Sydney, School of Economics.
    16. repec:zbw:bofrdp:019 is not listed on IDEAS
    17. Brubakk, Leif & ter Ellen, Saskia & Robstad, Ørjan & Xu, Hong, 2022. "The macroeconomic effects of forward communication," Journal of International Money and Finance, Elsevier, vol. 120(C).
    18. Müller, Tobias & Christoffel, Kai & Mazelis, Falk & Montes-Galdón, Carlos, 2022. "Disciplining expectations and the forward guidance puzzle," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    19. Carlstrom, Charles T. & Fuerst, Timothy S. & Paustian, Matthias, 2015. "Inflation and output in New Keynesian models with a transient interest rate peg," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 230-243.
    20. Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2022. "Estimating a Nonlinear New Keynesian Model with the Zero Lower Bound for Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1637-1671, September.
    21. de Groot, Oliver & Mazelis, Falk & Motto, Roberto & Ristiniemi, Annukka, 2021. "A toolkit for computing Constrained Optimal Policy Projections (COPPs)," Working Paper Series 2555, European Central Bank.
    22. Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.

    More about this item

    Keywords

    expectations; monetary policy; unconventional policy;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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:ecb:ecbwps:20202426. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.