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Testing the Stability of the Canadian Phillips Curve Using Exact Methods

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  • Lynda Khalaf
  • Maral Kichian

Abstract

Postulating two different specifications for the Canadian Phillips curve (a purely backwardlooking model, and a partly backward-, partly forward-looking model), the authors test for structural breaks in the parameters of the equation. In each case, they account for the possibilities that: (i) breaks can be discrete, or continuous, and (ii) available data samples may be too small to justify using asymptotically valid structural-change tests. Thus, the authors use recent testing procedures that are valid in finite samples, applying the Dufour-Kiviet (1996) methodology for discrete-type breaks, and the Dufour (2002) Maximized Monte Carlo test method for continuous-type shifts. The second test accounts for nuisance parameters that appear only under the alternative. The proposed alternative is a Kalman-filter-based time-varying-parameter specification, with coefficients that follow random walks. The authors find evidence for linear and non-linear breaks, the latter being characterized by continuous and unpredictable-type shifts in the inflation-dynamics coefficients.

Suggested Citation

  • Lynda Khalaf & Maral Kichian, 2003. "Testing the Stability of the Canadian Phillips Curve Using Exact Methods," Staff Working Papers 03-7, Bank of Canada.
    • Handle: RePEc:bca:bocawp:03-7
    DOI: 10.34989/swp-2003-7
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    References listed on IDEAS

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    1. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
    2. Rudd, Jeremy & Whelan, Karl, 2005. "New tests of the new-Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1167-1181, September.
    3. Kim, Chang-Jin & Nelson, Charles R, 1989. "The Time-Varying-Parameter Model for Modeling Changing Conditional Variance: The Case of the Lucas Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 433-440, October.
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    5. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    6. Gali, Jordi & Gertler, Mark & David Lopez-Salido, J., 2003. "Erratum to "European inflation dynamics": [European Economic Review 45 (2001), 1237-1270]," European Economic Review, Elsevier, vol. 47(4), pages 759-760, August.
    7. Maral Kichian, 2001. "On the Nature and the Stability of the Canadian Phillips Curve," Staff Working Papers 01-4, Bank of Canada.
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    Cited by:

    1. David Longworth, 2003. "Implications of a changing economic structure for the strategy of monetary policy : commentary," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 349-360.
    2. Jose de Gregorio & Oscar Landerretche & Christopher Neilson, 2007. "Another Pass-Through Bites the Dust? Oil Prices and Inflation," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 155-208.
    3. Broda, Christian & Rigobon, Roberto, 2007. "Comments," LSE Research Online Documents on Economics 123407, London School of Economics and Political Science, LSE Library.
    4. Pierre Fortin, 2013. "The Macroeconomics of Downward Nominal Wage Rigidity : a Review of the Issues and New Evidence for Canada," Cahiers de recherche 1309, CIRPEE.

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    Keywords

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    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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