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Monetary Transmission Mechanism In A Small Open Economy: A Bayesian Structural Var Approach

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  • Rokon Bhuiyan

    (Queen's University)

Abstract

This paper develops an open-economy Bayesian structural VAR model for Canada in order to estimate the effects of monetary policy shocks, using the overnight target rate as the policyinstrument. I allow the policy variable and the financial variables of the model to interact simultaneously with each other and with a number of other home and foreign variables. WhenI estimate this over-identified VAR model, I find that the policy shock transmits to real output through both the interest rate and exchange rate channels, and the shock does not induce a departure from uncovered interest rate parity. I also find that the impulse response of the monetary aggregate, M1, does not exactly follow the impulse response of the target rate.Finally, I find that Canadian variables significantly responds to the US federal funds rate shock, and external shocks are an important source of Canadian output fluctuations.

Suggested Citation

  • Rokon Bhuiyan, 2008. "Monetary Transmission Mechanism In A Small Open Economy: A Bayesian Structural Var Approach," Working Paper 1183, Economics Department, Queen's University.
    • Handle: RePEc:qed:wpaper:1183
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    Cited by:

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    2. Finlay, Richard & Jääskelä, Jarkko P., 2014. "Credit supply shocks and the global financial crisis in three small open economies," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 270-276.
    3. Rokon Bhuiyan, 2012. "The Effects of Monetary Policy Shocks in Bangladesh: A Bayesian Structural VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 26(2), pages 301-316, June.
    4. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2016. "Canadian monetary policy analysis using a structural VARMA model," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 347-373, February.
    5. Champagne, Julien & Sekkel, Rodrigo, 2018. "Changes in monetary regimes and the identification of monetary policy shocks: Narrative evidence from Canada," Journal of Monetary Economics, Elsevier, vol. 99(C), pages 72-87.
    6. Guido Turnip, 2017. "Identification of Small Open Economy SVARs via Markov-Switching Heteroskedasticity," The Economic Record, The Economic Society of Australia, vol. 93(302), pages 465-483, September.
    7. Tafirenyika Sunde & Olusegun A. Akanbi, 2016. "Sources of unemployment in Namibia: an application of the structural VAR approach," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 8(2), pages 125-143.
    8. Onanuga, Abayomi & Onanuga, Olaronke, 2014. "The Impact of Interest Rate Channel of Monetary Policy on Output and Prices in Nigeria: An Unrestricted VAR Approach," MPRA Paper 83322, University Library of Munich, Germany.
    9. Kaelo Mpho Ntwaepelo, 2021. "The Effects of Macroprudential and Monetary Policy Shocks in BRICS economies," Economics Discussion Papers em-dp2021-20, Department of Economics, University of Reading.
    10. Margaux MacDonald & Michał Ksawery Popiel, 2020. "Unconventional Monetary Policy in a Small Open Economy," Open Economies Review, Springer, vol. 31(5), pages 1061-1115, November.
    11. Khaysy Srithilat & Thipphavanh Samatmanivong & Vaiyoth Lienpaserth & Phiengsanith Chanthavixay & Visanu Boundavong & Vonsy Douangty, 2022. "The Effect of Monetary Policy on Economic Growth in Lao PDR," International Journal of Economics and Financial Issues, Econjournals, vol. 12(1), pages 67-74.
    12. Sebastian Coralia Emilia POPA, 2017. "Quantification model of the consequences of monetary policy shocks," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(19), pages 122-128, November.
    13. Fornero, Jorge & Kirchner, Markus & Molina, Carlos, 2024. "Estimating shadow policy rates in a small open economy and the role of foreign factors," Journal of International Money and Finance, Elsevier, vol. 140(C).
    14. Adebayo Augustine Kutu & Harold Ngalawa, 2016. "Monetary Policy Shocks And Industrial Output In Brics Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 66(3), pages 3-24, July-Sept.
    15. Jean Louis, Rosmy & Brown, Ryan & Balli, Faruk, 2011. "On the feasibility of monetary union: Does it make sense to look for shocks symmetry across countries when none of the countries constitutes an optimum currency area?," Economic Modelling, Elsevier, vol. 28(6), pages 2701-2718.
    16. T. Philipp Dybowski & Max Hanisch & Bernd Kempa, 2018. "The role of the exchange rate in Canadian monetary policy: evidence from a TVP-BVAR model," Empirical Economics, Springer, vol. 55(2), pages 471-494, September.
    17. Anwar, Sajid & Nguyen, Lan Phi, 2018. "Channels of monetary policy transmission in Vietnam," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 709-729.
    18. Louis, Rosmy J & Brown, Ryan & Balli, Faruk, 2009. "Are Mortgage Rates Bubbling Up Trouble for Canadas Metropolitan Housing Sector?," MPRA Paper 17245, University Library of Munich, Germany.
    19. Christian Rohe & Matthias Hartermann, 2015. "The role of external shocks for monetary policy in Colombia and Brazil: A Bayesian SVAR analysis," CQE Working Papers 4215, Center for Quantitative Economics (CQE), University of Muenster.

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    More about this item

    Keywords

    Monetary policy; structural VAR; block exogeneity; impulse response;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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