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Y a-t-il des biais systematiques dans les annonces budgetaires canadiennes? (With English summary.)

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  • Jean Francois David
  • Eric Ghysels

Abstract

Every year the Canadian government makes up a budget for the forthcoming fiscal year. During the budget process, projections are made of expenditures and receipts contingent upon predictions of key macroeconomic variables. Naturally, one expects that the budget deficit or surplus actually realized will differ from what was initially announced. Neither of the two major protagonists in the budget decision-making process, namely the Legislative and Executive Branches of government, may have an interest in using truthful projections, however. The purpose of the paper is to find empirical regularities. It is found that (1) the difference between projected and realized budgets is substantial; and (2) that the differences are systematically related to publicly available information at the time of the budget announcement. The publicly available information contains key macroeconomic variables related to the electoral and legislative process. It is shown that the biases are fairly predictable at the time budget projections are announced.

Suggested Citation

  • Jean Francois David & Eric Ghysels, 1989. "Y a-t-il des biais systematiques dans les annonces budgetaires canadiennes? (With English summary.)," Canadian Public Policy, University of Toronto Press, vol. 15(3), pages 313-321, September.
  • Handle: RePEc:cpp:issued:v:15:y:1989:i:3:p:313-321
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. David, J.F. & Ghysels, E., 1989. "Y A-T-Il des Biais Systematiques Dans les Annonces Budgetaires Canadiennes?," Cahiers de recherche 8912, Universite de Montreal, Departement de sciences economiques.
    3. Ghysels, E., 1987. "The Political Economy of the Budget and Efficient Information Processing," Cahiers de recherche 8733, Universite de Montreal, Departement de sciences economiques.
    4. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    5. Phillips, Peter C. B., 1979. "The sampling distribution of forecasts from a first-order autoregression," Journal of Econometrics, Elsevier, vol. 9(3), pages 241-261, February.
    6. Dufour, Jean-Marie, 1985. "Unbiasedness of Predictions from Etimated Vector Autoregressions," Econometric Theory, Cambridge University Press, vol. 1(3), pages 387-402, December.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
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