[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/urs/urswps/14-01.html
   My bibliography  Save this paper

Learning and Loss Functions: Comparing Optimal and Operational Monetary Policy Rules

Author

Abstract
Modern Bayesian tools aided by MCMC techniques allow researchers to estimate models with increasingly intricate dynamics. This paper highlights the application of these tools with an empirical assessment of optimal versus operational monetary policy rules within a standard New Keynesian macroeconomic model with adaptive learning. The question of interest is which of the two policy rules - contemporaneous data or expectations of current variables - better describes the policy undertaken by the U.S. central bank. Results for the data period 1954:III to 2007:I indicate that the data strongly favors contemporaneous expectations over real time data.

Suggested Citation

  • Eric Gaus & Srikanth Ramamurthy, 2012. "Learning and Loss Functions: Comparing Optimal and Operational Monetary Policy Rules," Working Papers 14-01, Ursinus College, Department of Economics, revised 14 Dec 2013.
    • Handle: RePEc:urs:urswps:14-01
    as

    Download full text from publisher

    File URL: http://webpages.ursinus.edu/egaus/Research/IJMMNO_BAYES.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Murray, 2008. "Initial Expectations in New Keynesian Models with Learning," Caepr Working Papers 2008-017, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    2. McCallum, Bennett T., 1983. "On non-uniqueness in rational expectations models : An attempt at perspective," Journal of Monetary Economics, Elsevier, vol. 11(2), pages 139-168.
    3. Bullard, James & Mitra, Kaushik, 2002. "Learning about monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1105-1129, September.
    4. Milani, Fabio, 2007. "Expectations, learning and macroeconomic persistence," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2065-2082, October.
    5. repec:wly:soecon:v:80:2:y:2013:p:439-453 is not listed on IDEAS
    6. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1.
    7. Eric Gaus, 2012. "Robust Stability of Monetary Policy Rules under Adaptive Learning," Working Papers 13-01, Ursinus College, Department of Economics, revised 14 Dec 2012.
    8. John Duffy & Wei Xiao, 2007. "The Value of Interest Rate Stabilization Policies When Agents Are Learning," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2041-2056, December.
    9. James Murray, 2008. "Initial Expectations in New Keynesian Models with Learning," CAEPR Working Papers 2008-017, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    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. Bask, Mikael & Proaño, Christian R., 2016. "Optimal monetary policy under learning and structural uncertainty in a New Keynesian model with a cost channel and inflation inertia," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 112-126.
    2. George W. Evans & Seppo Honkapohja, 2009. "Expectations, Learning and Monetary Policy: An Overview of Recent Research," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 2, pages 027-076, Central Bank of Chile.
    3. George W. Evans & Seppo Honkapohja, 2009. "Robust Learning Stability with Operational Monetary Policy Rules," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 5, pages 145-170, Central Bank of Chile.
    4. George W. Evans & Seppo Honkapohja, 2009. "Expectations, Learning and Monetary Policy: An Overview of Recent Research," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 2, pages 027-076, Central Bank of Chile.
    5. Eric Gaus, 2012. "Robust Stability of Monetary Policy Rules under Adaptive Learning," Working Papers 13-01, Ursinus College, Department of Economics, revised 14 Dec 2012.
    6. Llosa, Luis-Gonzalo & Tuesta, Vicente, 2009. "Learning about monetary policy rules when the cost-channel matters," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1880-1896, November.
    7. Eric Gaus, 2013. "Robust Stability of Monetary Policy Rules under Adaptive Learning," Southern Economic Journal, John Wiley & Sons, vol. 80(2), pages 439-453, October.
    8. repec:zbw:bofrdp:2007_032 is not listed on IDEAS
    9. Adnan Haider & Musleh ud Din & Ejaz Ghani, 2012. "Monetary Policy, Informality and Business Cycle Fluctuations in a Developing Economy Vulnerable to External Shocks," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 51(4), pages 609-681.
    10. James Bullard & Kaushik Mitra, 2007. "Determinacy, Learnability, and Monetary Policy Inertia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(5), pages 1177-1212, August.
    11. André, Marine Charlotte & Dai, Meixing, 2017. "Is central bank conservatism desirable under learning?," Economic Modelling, Elsevier, vol. 60(C), pages 281-296.
    12. Bask, Mikael & Proaño, Christian R, 2012. "Optimal Monetary Policy under Learning in a New Keynesian Model with Cost Channel and Inflation Inertia," Working Paper Series 2012:7, Uppsala University, Department of Economics.
    13. Kurozumi, Takushi & Van Zandweghe, Willem, 2010. "Labor market search, the Taylor principle, and indeterminacy," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 851-858, October.
    14. Bask, Mikael, 2009. "Instrument rules in monetary policy under heterogeneity in currency trade," Journal of Economics and Business, Elsevier, vol. 61(2), pages 97-111.
    15. repec:spo:wpecon:info:hdl:2441/f4rshpf3v1umfa09lat09b1bg is not listed on IDEAS
    16. Molnár, Krisztina & Santoro, Sergio, 2014. "Optimal monetary policy when agents are learning," European Economic Review, Elsevier, vol. 66(C), pages 39-62.
    17. George W. Evans & Seppo Honkapohja, 2009. "Robust Learning Stability with Operational Monetary Policy Rules," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 5, pages 145-170, Central Bank of Chile.
    18. Branch, William A. & McGough, Bruce, 2009. "A New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1036-1051, May.
    19. Michele Berardi, 2011. "On the stability properties of optimal interest rules under learning," Centre for Growth and Business Cycle Research Discussion Paper Series 155, Economics, The University of Manchester.
    20. Bennett T. McCallum, 2009. "Determinacy, Learnability, and Plausibility in Monetary Policy Analysis: Additional Results," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 7, pages 203-225, Central Bank of Chile.
    21. Berardi, Michele, 2015. "Time-varying policy rule under learning," Economics Letters, Elsevier, vol. 129(C), pages 25-28.
    22. Evans, George & Honkapohja, Seppo, 2011. "Learning as a rational foundation for macroeconomics and finance," Bank of Finland Research Discussion Papers 8/2011, Bank of Finland.

    More about this item

    Keywords

    Adaptive Learning; Rational Expectations; Bayesian Econometrics; MCMC;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:urs:urswps:14-01. 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: Eric Gaus (email available below). General contact details of provider: https://edirc.repec.org/data/ebursus.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.