IDEAS home Printed from https://ideas.repec.org/a/rfa/aefjnl/v5y2018i6p42-51.html
   My bibliography  Save this article

The Monetary Transmission Mechanism in Canada: A Time-Varying Vector Autoregression with Stochastic Volatility

Author

Listed:
  • Ronald Henry Lange

Abstract

This study uses the state-space representation of a time-varying vector autoregression with stochastic volatility (TVP-VAR-SV) to study monetary policy and private sector behaviour in Canada. The main results indicate that both shock variances and autoregressive coefficients of the VAR have evolved systematically over time. The time-varying coefficients of the systematic component of the VAR suggest that monetary policy has become more proactive and less reactive regarding inflation since the early-1990s, which coincides with the adoption of explicit inflation targets. Monetary policy is now able to focus mainly on movements in the output gap to prevent future increases in inflation. The coefficients on the policy rate in both the output gap and inflation equations suggest that the private sector and therefore the transmission mechanism have become more sensitive to monetary policy responses. On the other hand, the coefficients on the output gap in the equations for both inflation and the policy rate have been relatively stable over this period, consistent with view that monetary policy remains more forward-looking regarding inflation than being reactive to inflation surprises as in the past.

Suggested Citation

  • Ronald Henry Lange, 2018. "The Monetary Transmission Mechanism in Canada: A Time-Varying Vector Autoregression with Stochastic Volatility," Applied Economics and Finance, Redfame publishing, vol. 5(6), pages 42-51, November.
  • Handle: RePEc:rfa:aefjnl:v:5:y:2018:i:6:p:42-51
    as

    Download full text from publisher

    File URL: http://redfame.com/journal/index.php/aef/article/view/3570/3829
    Download Restriction: no

    File URL: http://redfame.com/journal/index.php/aef/article/view/3570
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Keating, John W. & Valcarcel, Victor J., 2017. "What's so great about the Great Moderation?," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 115-142.
    3. Trehan, Bharat & Wu, Tao, 2007. "Time-varying equilibrium real rates and monetary policy analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1584-1609, May.
    4. Chang-jin Kim & N. Kundan Kishor & Charles R Nelson, 2006. "A Time-Varying Parameter Model for a Forward-Looking Monetary Policy Rule Based on Real-Time Data," Working Papers UWEC-2007-32, University of Washington, Department of Economics.
    5. Owyang, Michael T. & Ramey, Garey, 2004. "Regime switching and monetary policy measurement," Journal of Monetary Economics, Elsevier, vol. 51(8), pages 1577-1597, November.
    6. 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.
    7. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    8. 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.
    9. Jamie Armour & Walter Engert & Ben Fung, 1996. "Overnight Rate Innovations as a measure of monetary Policy Shocks in Vector Autoregressions," Staff Working Papers 96-4, Bank of Canada.
    10. 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.
    11. Carmine Trecroci & Matilde Vassalli, 2010. "Monetary Policy Regime Shifts: New Evidence From Time‐Varying Interest Rate Rules," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 933-950, October.
    12. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    13. repec:pri:cepsud:110sims is not listed on IDEAS
    14. Boivin, Jean, 2006. "Has U.S. Monetary Policy Changed? Evidence from Drifting Coefficients and Real-Time Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1149-1173, August.
    15. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
    16. Kim, Chang-Jin & Nelson, Charles R., 2006. "Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1949-1966, November.
    17. Michael Connolly & Taeyoung Doh, 2012. "The state space representation and estimation of a time-varying parameter VAR with stochastic volatility," Research Working Paper RWP 12-04, Federal Reserve Bank of Kansas City.
    18. S. Avouyi-Dovi & C. Labonne & R. Lecat & S. Ray, 2017. "Insight from a Time-Varying VAR Model with Stochastic Volatility of the French Housing and Credit Markets," Working papers 620, Banque de France.
    19. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    20. Ronald H. Lange, 2013. "Monetary policy reactions and the exchange rate: a regime-switching structural VAR for Canada," International Review of Applied Economics, Taylor & Francis Journals, vol. 27(5), pages 612-632, September.
    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. Davide Debortoli & Ricardo Nunes, 2014. "Monetary Regime Switches and Central Bank Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1591-1626, December.
    2. Belongia, Michael T. & Ireland, Peter N., 2016. "The evolution of U.S. monetary policy: 2000–2007," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 78-93.
    3. Yüksel, Ebru & Metin-Ozcan, Kivilcim & Hatipoglu, Ozan, 2013. "A survey on time-varying parameter Taylor rule: A model modified with interest rate pass-through," Economic Systems, Elsevier, vol. 37(1), pages 122-134.
    4. Baxa, Jaromír & Horváth, Roman & Vašíček, Bořek, 2014. "How Does Monetary Policy Change? Evidence On Inflation-Targeting Countries," Macroeconomic Dynamics, Cambridge University Press, vol. 18(3), pages 593-630, April.
    5. Samuel Addo, 2018. "Policy regime changes and central bank prefernces," Working Papers 752, Economic Research Southern Africa.
    6. Aymeric Ortmans, 2020. "Evolving Monetary Policy in the Aftermath of the Great Recession," Documents de recherche 20-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    7. Best, Gabriela, 2017. "Policy Preferences And Policy Makers' Beliefs: The Great Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 21(8), pages 1957-1995, December.
    8. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    9. Michael D. Bauer & Eric T. Swanson, 2023. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Macroeconomics Annual, University of Chicago Press, vol. 37(1), pages 87-155.
    10. Creel, Jérôme & Hubert, Paul, 2015. "Has Inflation Targeting Changed The Conduct Of Monetary Policy?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 1-21, January.
    11. Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2016. "Exchange rate predictability in a changing world," Journal of International Money and Finance, Elsevier, vol. 62(C), pages 1-24.
    12. Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021. "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, vol. 101(C).
    13. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
    14. Mandler, Martin, 2012. "Decomposing Federal Funds Rate forecast uncertainty using time-varying Taylor rules and real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 228-245.
    15. repec:hal:spmain:info:hdl:2441/9543 is not listed on IDEAS
    16. Denis Belomestny & Ekaterina Krymova & Andrey Polbin, 2020. "Estimating TVP-VAR models with time invariant long-run multipliers," Papers 2008.00718, arXiv.org.
    17. repec:hal:spmain:info:hdl:2441/6150 is not listed on IDEAS
    18. 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.
    19. Giulia Rivolta, 2018. "Potential ECB reaction functions with time-varying parameters: an assessment," Empirical Economics, Springer, vol. 55(4), pages 1425-1473, December.
    20. Hilde C. Bjørnland & Leif Anders Thorsrud, 2019. "Commodity prices and fiscal policy design: Procyclical despite a rule," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 161-180, March.
    21. Baele, Lieven & Bekaert, Geert & Cho, Seonghoon & Inghelbrecht, Koen & Moreno, Antonio, 2015. "Macroeconomic regimes," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 51-71.
    22. Joshua C. C. Chan & Gary Koop & Simon M. Potter, 2016. "A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips Curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 551-565, April.

    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:rfa:aefjnl:v:5:y:2018:i:6:p:42-51. 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: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.