IDEAS home Printed from https://ideas.repec.org/p/ime/imedps/11-e-13.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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 f 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
    as

    Download full text from publisher

    File URL: http://www.imes.boj.or.jp/research/papers/english/11-E-13.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 2002. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 69-87, January.
    3. Koichiro Kamada & Tomohiro Sugo, 2006. "Evaluating Japanese Monetary Policy under the Non-negativity Constraint on Nominal Short-term Interest Rates," Bank of Japan Working Paper Series 06-E-17, Bank of Japan.
    4. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    5. Fujiwara, Ippei, 2006. "Evaluating monetary policy when nominal interest rates are almost zero," Journal of the Japanese and International Economies, Elsevier, vol. 20(3), pages 434-453, September.
    6. Fujiki, Hiroshi & Shiratsuka, Shigenori, 2002. "Policy Duration Effect under the Zero Interest Rate Policy in 1999-2000: Evidence from Japan's Money Market Data," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 20(1), pages 1-31, January.
    7. Baumeister, Christiane & Benati, Luca, 2010. "Unconventional monetary policy and the great recession - Estimating the impact of a compression in the yield spread at the zero lower bound," Working Paper Series 1258, European Central Bank.
    8. Shigenori Shiratsuka, 2010. "Size and Composition of the Central Bank Balance Sheet: Revisiting Japan fs Experience of the Quantitative Easing Policy," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 28, pages 79-106, November.
    9. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    10. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    11. Markus Kirchner & Jacopo Cimadomo & Sebastian Hauptmeier, 2010. "Transmission of Government Spending Shocks in the Euro Area: Time Variation and Driving Forces," Tinbergen Institute Discussion Papers 10-021/2, Tinbergen Institute.
    12. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    13. Zsolt Darvas, 2013. "Monetary transmission in three central European economies: evidence from time-varying coefficient vector autoregressions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(2), pages 363-390, May.
    14. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
    15. Smith M. & Kohn R., 2002. "Parsimonious Covariance Matrix Estimation for Longitudinal Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1141-1153, December.
    16. Iwata, Shigeru & Wu, Shu, 2006. "Estimating monetary policy effects when interest rates are close to zero," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1395-1408, October.
    17. Hiroshi Ugai, 2007. "Effects of the Quantitative Easing Policy: A Survey of Empirical Analyses," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 25(1), pages 1-48, March.
    18. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    19. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994. "Bayesian Analysis of Stochastic Volatility Models: Comments: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 413-417, October.
    20. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 361-393.
    21. repec:bla:restud:v:65:y:1998:i:3:p:361-93 is not listed on IDEAS
    22. Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
    23. Miyao, Ryuzo, 2002. "The Effects of Monetary Policy in Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 376-392, May.
    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. Michal Franta & Jan Libich & Petr StehlĂ­k, 2012. "Tracking Monetary-Fiscal Interactions across Time and Space," CAMA Working Papers 2012-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. 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.
    3. 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.
    4. 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, Research Department.
    5. Henrike Michaelis & Sebastian Watzka, 2014. "Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?," CESifo Working Paper Series 4901, CESifo Group Munich.
    6. 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.
    7. 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.
    8. Ugo Fasano-Filho & Qing Wang & Pelin Berkmen, 2012. "Bank of Japan's Quantitative and Credit Easing; Are they Now More Effective," IMF Working Papers 12/2, International Monetary Fund.
    9. 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.
    10. 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.
    11. 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.

    More about this item

    Keywords

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

    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

    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:ime:imedps:11-e-13. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kinken). General contact details of provider: http://edirc.repec.org/data/imegvjp.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.