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Taylor Rules in the Quarterly Projection Model

Author

Listed:
  • Jamie Armour
  • Ben Fung
  • Dinah Maclean

Abstract

In recent years, there has been a lot of interest in Taylor-type rules. Evidence in the literature suggests that Taylor-type rules are optimal in a number of models and are fairly robust across different models. The reaction function in the Bank of Canada's Quarterly Projection Model (QPM) is an inflation-forecast-based (IFB) rule. A number of studies have suggested, however, that the optimality of IFB rules is very model-specific. Given this and concerns about model uncertainty, it seems logical to assess the performance of Taylor-type reaction functions in QPM. Therefore, we compare QPM's IFB rule with a simple Taylor rule as well as with two rules that include open-economy elements. Overall, our results suggest that Taylor-type rules do not perform well in QPM compared with the base-case IFB rule, since they are associated with significantly higher variabilities of inflation, output, and interest rates. However, of the Taylor-type rules considered, we find that a simple rule with a coefficient of 2 on the contemporaneous inflation gap (versus 0.5 in Taylor's original rule) and a coefficient of 0.5 on the output gap is the most appropriate. Furthermore, the gains from using open-economy rules seem to be limited.

Suggested Citation

  • Jamie Armour & Ben Fung & Dinah Maclean, 2002. "Taylor Rules in the Quarterly Projection Model," Staff Working Papers 02-1, Bank of Canada.
  • Handle: RePEc:bca:bocawp:02-1
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
    2. Cote, Denise & Kuszczak, John & Lam, Jean-Paul & Liu, Ying & St-Amant, Pierre, 2006. "A comparison of twelve macroeconomic models of the Canadian economy," Journal of Policy Modeling, Elsevier, vol. 28(5), pages 523-562, July.
    3. Nicholas Rowe & David Tulk, 2003. "A Simple Test of Simple Rules: Can They Improve How Monetary Policy is Implemented with Inflation Targets?," Staff Working Papers 03-31, Bank of Canada.
    4. Denise Côté & John Kuszczak & Jean-Paul Lam & Ying Liu & Pierre St-Amant, 2004. "The performance and robustness of simple monetary policy rules in models of the Canadian economy," Canadian Journal of Economics, Canadian Economics Association, vol. 37(4), pages 978-998, November.
    5. Scott Hendry & Wai-Ming Ho & Kevin Moran, 2003. "Simple Monetary Policy Rules in an Open-Economy, Limited-Participation Model," Staff Working Papers 03-38, Bank of Canada.
    6. Kevin Clinton, 2006. "Wicksell at the Bank of Canada," Working Papers 1087, Queen's University, Department of Economics.
    7. Thanaset Chevapatrakul & Juan Paez-Farrell, 2014. "Monetary Policy Reaction Functions in Small Open Economies: a Quantile Regression Approach," Manchester School, University of Manchester, vol. 82(2), pages 237-256, March.
    8. Alex Nikolsko‐Rzhevskyy, 2011. "Monetary Policy Estimation in Real Time: Forward‐Looking Taylor Rules without Forward‐Looking Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 871-897, August.
    9. Gabriel Srour, 2003. "Some Notes on Monetary Policy Rules with Uncertainty," Staff Working Papers 03-16, Bank of Canada.
    10. Jean-Philippe Cayen & Amy Corbett & Patrick Perrier, 2006. "An Optimized Monetary Policy Rule for ToTEM," Staff Working Papers 06-41, Bank of Canada.

    More about this item

    Keywords

    Monetary policy framework; Uncertainty and monetary policy; Economic models;

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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