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Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework

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  • Michal Franta

    (Czech National Bank, Economic Research Department (E-mail: michal.franta@cerge-ei.cz))

Abstract

This paper contributes to the discussion on the functioning of the monetary policy transmission mechanism in Japan during the past three decades. It extends the methodology of time-varying parameter vector autoregressions (TVP-VAR) by employing an identification scheme based on sign restrictions. This approach allows for an explicit account of the zero lower bound on the nominal interest rate. Results suggest differences in the transmission mechanism between the quantitative easing policy period and the periods when the call rate played the role of a monetary policy instrument. Monetary policy operating through call rate movements is found to influence output more than when it targets banks' balances held at the central bank. Monetary policy operating through quantitative easing is found to influence inflation, in sharp contrast to the previous literature.

Suggested Citation

  • Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
    • Handle: RePEc:ime:imedps:11-e-13
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Bijsterbosch, Martin & Falagiarda, Matteo, 2014. "Credit supply dynamics and economic activity in euro area countries: a time-varying parameter VAR analysis," Working Paper Series 1714, European Central Bank.
    2. Michal Franta & Jan Libich & Petr Stehlík, 2018. "Tracking Monetary-Fiscal Interactions across Time and Space," International Journal of Central Banking, International Journal of Central Banking, vol. 14(3), pages 167-227, June.
    3. Oxana Babecka Kucharcukova & Michal Franta & Dana Hajkova & Petr Kral & Ivana Kubicova & Anca Podpiera & Branislav Saxa, 2013. "What We Know About Monetary Policy Transmission in the Czech Republic: Collection of Empirical Results," Research and Policy Notes 2013/01, Czech National Bank.
    4. Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
    5. Mr. Ugo Fasano-Filho & Mr. Qing Wang & Pelin Berkmen, 2012. "Bank of Japan's Quantitative and Credit Easing: Are they Now More Effective," IMF Working Papers 2012/002, International Monetary Fund.
    6. Yuto Iwasaki & Nao Sudo, 2017. "Myths and Observations on Unconventional Monetary Policy -- Takeaways from Post-Bubble Japan --," Bank of Japan Working Paper Series 17-E-11, Bank of Japan.
    7. Eddie Gerba & Klemens Hauzenberger, 2013. "Estimating US Fiscal and Monetary Interactions in a Time Varying VAR," Studies in Economics 1303, School of Economics, University of Kent.
    8. Naoyuki Yoshino & Farhad Taghizadeh-Hesary & Hiroaki Miyamoto, 2017. "The Ineffectiveness of Japan’s Negative Interest Rate Policy," ADB Institute Series on Development Economics, in: Naoyuki Yoshino & Farhad Taghizadeh-Hesary (ed.), Japan’s Lost Decade, chapter 0, pages 147-168, Springer.
    9. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    10. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    11. Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
    12. Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
    13. Hanisch, Max, 2017. "The effectiveness of conventional and unconventional monetary policy: Evidence from a structural dynamic factor model for Japan," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 110-134.

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    More about this item

    Keywords

    Structural vector autoregressive model; time-varying parameters; sign restrictions; unconventional monetary policy; zero lower bound;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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