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An Empirical Analysis of the Canadian Budget Process

Author

Listed:
  • Campbell, B.
  • Ghysels, E.
Abstract
This paper provides a statistical analysis of the forecasts of significant number of expenditure and revenue components of the Federal budget provided each year by the Department of Finance. The sample available for such an investigation is limited and we describe an easily-applied nonparametric testing methodology which is more appropriate than the usual regression-based approach in small samples. The reliability and relative power of the various nonparametric tests are illustrated in a series of simulations. Applying these tests to the fiscal forecasts, we find that there is little cause to be concerned with the forecast performance of the Department of Finance over the last seventeen years. Dans cette étude nous examinons les erreurs de prévisions pour les comptes de dépenses et recettes du budget canadien. Nous appliquons des méthodes non-paramétriques à cause des petites tailles d'échantillons. Nous trouvons peu d'erreurs systématiques dans les prévisions budgétaires.
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Suggested Citation

  • Campbell, B. & Ghysels, E., 1995. "An Empirical Analysis of the Canadian Budget Process," Cahiers de recherche 9523, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    • Handle: RePEc:mtl:montec:9523
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    References listed on IDEAS

    as
    1. Plesko, George A., 1988. "The Accuracy of Government Forecasts and Budget Projections," National Tax Journal, National Tax Association, vol. 41(4), pages 483-501, December.
    2. Feenberg, Daniel R, et al, 1989. "Testing the Rationality of State Revenue Forecasts," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 300-308, May.
    3. Cassidy, Glenn & Kamlet, Mark S. & Nagin, Daniel S., 1989. "An empirical examination of bias in revenue forecasts by state governments," International Journal of Forecasting, Elsevier, vol. 5(3), pages 321-331.
    4. Dufour, J.M., 1988. "Non-Uniform Bounds for Nonparametric T Tests," Cahiers de recherche 8820, Universite de Montreal, Departement de sciences economiques.
    5. Gentry, William M., 1989. "Do State Revenue Forecasters Utilize Available Information," National Tax Journal, National Tax Association;National Tax Journal, vol. 42(4), pages 429-439, December.
    6. Dufour, Jean-Marie & Hallin, Marc, 1991. "Nonuniform Bounds for Nonparametric t-Tests," Econometric Theory, Cambridge University Press, vol. 7(2), pages 253-263, June.
    7. repec:cup:etheor:v:7:y:1991:i:2:p:253-63 is not listed on IDEAS
    8. Campbell, Bryan & Ghysels, Eric, 1995. "Federal Budget Projections: A Nonparametric Assessment of Bias and Efficiency," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 17-31, February.
    9. Jean‐Marie Dufour, 1981. "Rank Tests For Serial Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 2(3), pages 117-128, May.
    10. Gregory Mankiw, N. & Shapiro, Matthew D., 1986. "Do we reject too often? : Small sample properties of tests of rational expectations models," Economics Letters, Elsevier, vol. 20(2), pages 139-145.
    11. Benjamin M. Friedman, 1980. "Survey Evidence on The Rationality of Interest Rate Expectations," NBER Working Papers 0261, National Bureau of Economic Research, Inc.
    12. Friedman, Benjamin M., 1980. "Survey evidence on the `rationality' of interest rate expectations," Journal of Monetary Economics, Elsevier, vol. 6(4), pages 453-465, October.
    13. Campbell, Bryan & Dufour, Jean-Marie, 1991. "Over-rejections in rational expectations models : A non-parametric approach to the Mankiw-Shapiro problem," Economics Letters, Elsevier, vol. 35(3), pages 285-290, March.
    14. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    15. Dufour, J.M., 1979. "Rank Tests for Serial Dependence," Cahiers de recherche 7815, Universite de Montreal, Departement de sciences economiques.
    16. Davidson, Russell & MacKinnon, James G, 1998. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(1), pages 1-26, January.
    17. Gentry, William M., 1989. "Do State Revenue Forecasters Utilize Available Information," National Tax Journal, National Tax Association, vol. 42(4), pages 429-39, December.
    18. Mark S. Kamlet & David C. Mowery & Tsai-Tsu Su, 1987. "Whom do you trust? An analysis of executive and congressional economic forecasts," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 6(3), pages 365-384.
    19. Plesko, George A., 1988. "The Accuracy of Government Forecasts and Budget Projections," National Tax Journal, National Tax Association;National Tax Journal, vol. 41(4), pages 483-501, December.
    20. McNees, Stephen K, 1978. "The "Rationality" of Economic Forecasts," American Economic Review, American Economic Association, vol. 68(2), pages 301-305, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Chatagny, Florian, 2015. "Incentive effects of fiscal rules on the finance minister's behavior: Evidence from revenue projections in Swiss Cantons," European Journal of Political Economy, Elsevier, vol. 39(C), pages 184-200.
    2. Friedrich Heinemann, 2006. "Planning or Propaganda? An Evaluation of Germany's Medium-term Budgetary Planning," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 62(4), pages 551-578, December.
    3. Natsuki Arai, 2016. "Evaluating the Efficiency of the FOMC's New Economic Projections," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(5), pages 1019-1049, August.
    4. Ulrich Fritsche & Artur Tarassow, 2017. "Vergleichende Evaluation der Konjunkturprognosen des Instituts für Makroökonomie und Konjunkturforschung an der Hans-Böckler-Stiftung für den Zeitraum 2005-2014," IMK Studies 54-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    5. Artur Tarassow & Sven Schreiber, 2018. "FEP - the forecast evaluation package for gretl," IMK Working Paper 190-2018, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    6. Chatagny, Florian & Siliverstovs, Boriss, 2015. "Evaluating rationality of level and growth rate forecasts of direct tax revenues under flexible loss function: Evidence from Swiss cantons," Economics Letters, Elsevier, vol. 134(C), pages 65-68.
    7. Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
    8. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).
    9. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.
    10. Mr. Mikhail Golosov & Mr. John R King, 2002. "Tax Revenue Forecasts in IMF-Supported Programs," IMF Working Papers 2002/236, International Monetary Fund.
    11. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.

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    More about this item

    Keywords

    BUDGET; ECONOMIC MODELS; TESTS;
    All these keywords.

    JEL classification:

    • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems

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