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Estimates of Québec’s Growth Uncertainty

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  • Simon van Norden

Abstract

Growth forecasts are the foundation of fiscal planning. Risk management in fiscal planning therefore requires an appreciation of the uncertainty associated with the underlying growth forecasts. This paper estimates such uncertainty by examining medium-term government and private-sector forecasts for Québec as well as private sector forecasts for Canada. It shows the distribution of forecast errors for both real and potential output forecasts by forecast horizon. It also examines a variety of decompositions to better understand key sources of forecast uncertainty. The results indicate that forecast uncertainty increases linearly with forecast horizon. Five-year ahead forecast errors for real output of ±5% are common, while those for potential output are roughly half the size, suggesting that the cumulative impact of cyclical factors play an important role. Of the two forecasts for Québec, the private sector forecast showed larger mean forecast errors while the government forecast had somewhat higher mean-squared forecast errors. The latter also tended to have offsetting mean errors in its forecasts of output gaps and trend productivity growth. Productivity growth together with labour force participation rates were a key contributor to most forecast errors while population growth tended to play a significant secondary role at longer horizons and variations in employments were generally minor.

Suggested Citation

  • Simon van Norden, 2015. "Estimates of Québec’s Growth Uncertainty," CIRANO Project Reports 2015rp-01, CIRANO.
  • Handle: RePEc:cir:cirpro:2015rp-01
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    File URL: https://cirano.qc.ca/files/publications/2015RP-01.pdf
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    References listed on IDEAS

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    1. Jacopo Cimadomo, 2016. "Real-Time Data And Fiscal Policy Analysis: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 30(2), pages 302-326, April.
    2. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    3. Galbraith, John W. & van Norden, Simon, 2011. "Kernel-based calibration diagnostics for recession and inflation probability forecasts," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1041-1057, October.
    4. John W. Galbraith & Simon van Norden, 2012. "Assessing gross domestic product and inflation probability forecasts derived from Bank of England fan charts," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(3), pages 713-727, July.
    5. Mr. Martin Mühleisen & Ms. Kornelia Krajnyak & Mr. Stephan Danninger & Mr. David Hauner & Mr. Bennett W Sutton, 2005. "How Do Canadian Budget Forecasts Compare with Those of Other Industrial Countries?," IMF Working Papers 2005/066, International Monetary Fund.
    6. Cayen, Jean-Philippe & van Norden, Simon, 2005. "The reliability of Canadian output-gap estimates," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 373-393, December.
    7. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
    8. Kevin L. Kliesen & Daniel L. Thornton, 2012. "How good are the government’s deficit and debt projections and should we care?," Review, Federal Reserve Bank of St. Louis, vol. 94(Jan), pages 21-39.
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