IDEAS home Printed from https://ideas.repec.org/p/ann/wpaper/1-2016.html
   My bibliography  Save this paper

Robust monetary policy in a linear model of the polish economy: is the uncertainty in the model responsible for the interest rate smoothing effect?

Author

Listed:
  • Mariusz Gorajski

    (Department of Econometrics, Faculty of Economics and Sociology, University of Lodz, Poland)

Abstract

Estimates of the generalised Taylor rule suggest that monetary policy in Poland can be characterized as having reacted in a moderate fashion to output and inflation gaps and are strongly dependent on the lagged interest rate. Moreover, as for the majority of central banks the short-term rate paths are smooth and only gradual changes can be observed. Optimal monetary policy models in the linear-quadratic framework produce high variability of interest rates, and are hence inconsistent with the data. One can obtain gradual behaviour of optimal monetary policy by adding an interest rate smoothing term to the central bank objective. This heuristic procedure has not much substantiation in the central bank's targets and raises the question: What are the rational reasons for the gradual movements in the monetary policy instrument? In this paper we determine optimal monetary polices in a VAR model of the Polish economy with parameter uncertainty. By incorporating a proper structure of multiplicative uncertainty in the linear-quadratic model of the Polish economy we find a data consistent robust monetary policy rule. Thus proving that parameter uncertainty can be the rationale for "timid" movements in the short-interest rate dynamics. Finally, we show that there is trade-off between parameter uncertainty and the interest rate smoothing incentive.

Suggested Citation

  • Mariusz Gorajski, 2016. "Robust monetary policy in a linear model of the polish economy: is the uncertainty in the model responsible for the interest rate smoothing effect?," Lodz Economics Working Papers 1/2016, University of Lodz, Faculty of Economics and Sociology.
  • Handle: RePEc:ann:wpaper:1/2016
    as

    Download full text from publisher

    File URL: http://dspace.uni.lodz.pl:8080/xmlui/bitstream/handle/11089/16882/LEWP_1_2016.pdf?sequence=1&isAllowed=y
    File Function: First version, 2016
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    2. Orphanides, Athanasios & Wieland, Volker, 2000. "Efficient Monetary Policy Design near Price Stability," Journal of the Japanese and International Economies, Elsevier, vol. 14(4), pages 327-365, December.
    3. Vito Polito & Mike Wickens, 2012. "Optimal monetary policy using an unrestricted VAR," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(4), pages 525-553, June.
    4. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
    5. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1087-1122, September.
    6. Ben Martin & Chris Salmon, 1999. "Should uncertain monetary policy-makers do less?," Bank of England working papers 99, Bank of England.
    7. Gadi Barlevy, 2011. "Robustness and Macroeconomic Policy," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 1-24, September.
    8. Arturo Estrella & Frederic S. Mishkin, 1999. "Rethinking the Role of NAIRU in Monetary Policy: Implications of Model Formulation and Uncertainty," NBER Chapters, in: Monetary Policy Rules, pages 405-436, National Bureau of Economic Research, Inc.
    9. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    10. Marc P. Giannoni, 2007. "Robust optimal monetary policy in a forward-looking model with parameter and shock uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 179-213.
    11. Lars E. O. Svensson, 1999. "Inflation Targeting: Some Extensions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(3), pages 337-361, September.
    12. Goodfriend, Marvin, 1987. "Interest rate smoothing and price level trend-stationarity," Journal of Monetary Economics, Elsevier, vol. 19(3), pages 335-348, May.
    13. Glenn D. Rudebusch, 2001. "Is The Fed Too Timid? Monetary Policy In An Uncertain World," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 203-217, May.
    14. Nicoletta Batini & Andrew Haldane, 1999. "Forward-Looking Rules for Monetary Policy," NBER Chapters, in: Monetary Policy Rules, pages 157-202, National Bureau of Economic Research, Inc.
    15. Woodford, Michael & WALSH, CARL E., 2005. "Interest And Prices: Foundations Of A Theory Of Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 9(3), pages 462-468, June.
    16. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
    17. Frank Smets, 2002. "Output gap uncertainty: Does it matter for the Taylor rule?," Empirical Economics, Springer, vol. 27(1), pages 113-129.
    18. Svensson, Lars E O, 1999. " Inflation Targeting: Some Extensions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(3), pages 337-361, September.
    19. Giannoni, Marc P., 2002. "Does Model Uncertainty Justify Caution? Robust Optimal Monetary Policy In A Forward-Looking Model," Macroeconomic Dynamics, Cambridge University Press, vol. 6(1), pages 111-144, February.
    20. Pawel Baranowski & Mariusz Gorajski & Maciej Malaczewski & Grzegorz Szafranski, 2013. "Inflation in Poland under state-dependent pricing," Discussion Papers 83, Aboa Centre for Economics.
    21. Alan Greenspan, 2004. "Risk and Uncertainty in Monetary Policy," American Economic Review, American Economic Association, vol. 94(2), pages 33-40, May.
    22. Gert Peersman & Frank Smets, 1999. "The Taylor Rule: A Useful Monetary Policy Benchmark for the Euro Area?," International Finance, Wiley Blackwell, vol. 2(1), pages 85-116, April.
    23. William Poole, 1998. "A policymaker confronts uncertainty," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 3-8.
    24. Prescott, Edward C, 1972. "The Multi-Period Control Problem Under Uncertainty," Econometrica, Econometric Society, vol. 40(6), pages 1043-1058, November.
    25. Onatski, Alexei & Stock, James H., 2002. "Robust Monetary Policy Under Model Uncertainty In A Small Model Of The U.S. Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 6(1), pages 85-110, February.
    26. Kiefer, Nicholas M & Nyarko, Yaw, 1989. "Optimal Control of an Unknown Linear Process with Learning," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 571-586, August.
    27. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    28. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    29. Michael Woodford, 2003. "Optimal Interest-Rate Smoothing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(4), pages 861-886.
    30. Alan S. Blinder, 1999. "Central Banking in Theory and Practice," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262522608, December.
    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. Mariusz Górajski, 2018. "Robust Monetary Policy in a Model of the Polish Economy: Is the Uncertainty Responsible for the Interest Rate Smoothing Effect?," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 313-340, August.
    2. Marc Giannoni, 2006. "Robust Optimal Policy in a Forward-Looking Model with Parameter and Shock Uncertainty," NBER Working Papers 11942, National Bureau of Economic Research, Inc.
    3. Marc P. Giannoni, 2007. "Robust optimal monetary policy in a forward-looking model with parameter and shock uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 179-213.
    4. Robert Tetlow & Peter von zur Muehlen, 2004. "Avoiding Nash Inflation: Bayesian and Robus Responses to Model Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(4), pages 869-899, October.
    5. Gnabo, Jean-Yves & Moccero, Diego Nicolas, 2015. "Risk management, nonlinearity and aggressiveness in monetary policy: The case of the US Fed," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 281-294.
    6. Kurozumi, Takushi, 2010. "Optimal Monetary Policy Under Parameter Uncertainty In A Simple Microfounded Model," Macroeconomic Dynamics, Cambridge University Press, vol. 14(2), pages 257-268, April.
    7. Felipe Morandé Lavín & Mauricio Tejada, 2008. "Sources of Uncertainty for Conducting Monetary Policy in Chile," Working Papers wp285, University of Chile, Department of Economics.
    8. Lars E. O. Svensson, 2001. "Price Stability as a Target for Monetary Policy: Defining and Maintaining Price Stability," Palgrave Macmillan Books, in: Deutsche Bundesbank (ed.), The Monetary Transmission Process, chapter 2, pages 60-111, Palgrave Macmillan.
    9. Kimura, Takeshi & Kurozumi, Takushi, 2007. "Optimal monetary policy in a micro-founded model with parameter uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 399-431, February.
    10. Di Bartolomeo, Giovanni & Giuli, Francesco, 2011. "Fiscal and monetary interaction under monetary policy uncertainty," European Journal of Political Economy, Elsevier, vol. 27(2), pages 369-375, June.
    11. Glenn D. Rudebusch, 2001. "Is The Fed Too Timid? Monetary Policy In An Uncertain World," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 203-217, May.
    12. Moccero, Diego & Gnabo, Jean-Yves, 2015. "The risk management approach to monetary policy, nonlinearity and aggressiveness: the case of the US Fed," Working Paper Series 1792, European Central Bank.
    13. Mariusz Górajski & Zbigniew Kuchta, 2022. "Which hallmarks of optimal monetary policy rules matter in Poland? A stochastic dominance approach," Bank i Kredyt, Narodowy Bank Polski, vol. 53(2), pages 149-182.
    14. Górajski Mariusz & Kuchta Zbigniew, 2018. "Measuring Uncertainty of Optimal Simple Monetary Policy Rules in DSGE models," Lodz Economics Working Papers 6/2018, University of Lodz, Faculty of Economics and Sociology.
    15. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).
    16. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, University Library of Munich, Germany.
    17. Drakos, Anastassios A. & Kouretas, Georgios P., 2015. "The conduct of monetary policy in the Eurozone before and after the financial crisis," Economic Modelling, Elsevier, vol. 48(C), pages 83-92.
    18. Efrem Castelnuovo, 2002. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Macroeconomics 0211006, University Library of Munich, Germany.
    19. Castelnuovo, Efrem & Paolo Surico, 2003. "Why are Federal Funds Rates so Smooth?," Royal Economic Society Annual Conference 2003 39, Royal Economic Society.
    20. Michael Paetz, 2007. "Robust Control and Persistence in the New Keynesian Economy," Quantitative Macroeconomics Working Papers 20711, Hamburg University, Department of Economics.

    More about this item

    Keywords

    Optimal Monetary Policy; Parameter Uncertainty; the Brainard conservatism principle; Interest rate smoothing; SVAR model;
    All these keywords.

    JEL classification:

    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • 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:ann:wpaper:1/2016. 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: LEWP Editors (email available below). General contact details of provider: https://edirc.repec.org/data/welodpl.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.