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Monetary Transmission Mechanism in a Small Open Economy: A Bayesian Structural VAR Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Rokon Bhuiyan () (Queen's University)
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 policy instrument. 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. When I 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.
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Paper provided by Queen's University, Department of Economics in its series Working Papers with number
1183.
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Length: 25 pages
Date of creation: Oct 2008Date of revision:
Handle: RePEc:qed:wpaper:1183Contact details of provider: Postal: Kingston, Ontario, K7L 3N6 Phone: (613) 533-2250 Fax: (613) 533-6668 Email: Web page: http://www.econ.queensu.ca/ More information through EDIRC
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Keywords: Monetary policy ; structural VAR ; block exogeneity ; impulse response ; Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions 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
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