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Bias in Official Fiscal Forecasts: Can Private Forecasts Help?

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  • Jeffrey A. Frankel
  • Jesse Schreger

Abstract

Government forecasts of GDP growth and budget balances are generally more over-optimistic than private sector forecasts. When official forecasts are especially optimistic relative to private forecasts ex ante, they are more likely also to be over-optimistic relative to realizations ex post. For example, euro area governments during the period 1999-2007 assiduously and inaccurately avoided forecasting deficit levels that would exceed the 3% Stability and Growth Pact threshold; meanwhile private sector forecasters were not subject to this crude bias. As a result, using private sector forecasts as an input into the government budgeting-making process would probably reduce official forecast errors for budget deficits.

Suggested Citation

  • Jeffrey A. Frankel & Jesse Schreger, 2016. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?," NBER Working Papers 22349, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22349
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    3. End, Nicolas, 2023. "Big Brother is also being watched: Measuring fiscal credibility," Journal of Macroeconomics, Elsevier, vol. 77(C).
    4. Nicolas End, 2020. "Rousseau's social contract or Machiavelli's virtue? A measure of fiscal credibility," AMSE Working Papers 2042, Aix-Marseille School of Economics, France.
    5. Joan Paredes & Javier J. Pérez & Gabriel Perez Quiros, 2023. "Fiscal targets. A guide to forecasters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 472-492, June.
    6. Lehmann Robert & Wollmershäuser Timo, 2020. "The macroeconomic projections of the German government: A comparison to an independent forecasting institution," German Economic Review, De Gruyter, vol. 21(2), pages 235-270, June.
    7. Carabotta, Laura & Paluzie, Elisenda & Ramos, Raul, 2017. "Does fiscal responsibility matter? Evidence from public and private forecasters in Italy," International Journal of Forecasting, Elsevier, vol. 33(3), pages 694-706.
    8. Morikawa, Masayuki, 2022. "Uncertainty in long-term macroeconomic forecasts: Ex post evaluation of forecasts by economics researchers," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 8-15.
    9. Joao Tovar Jalles, 2015. "How Quickly is News Incorporated in Fiscal Forecasts?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2802-2812.
    10. Gootjes, Bram & de Haan, Jakob, 2022. "Procyclicality of fiscal policy in European Union countries," Journal of International Money and Finance, Elsevier, vol. 120(C).
    11. Luisa Giuriato & Alessandra Cepparulo & Matteo Barberi, 2016. "Fiscal forecasts and political systems: a legislative budgeting perspective," Public Choice, Springer, vol. 168(1), pages 1-22, July.
    12. Klaus-Peter Hellwig, 2018. "Overfitting in Judgment-based Economic Forecasts: The Case of IMF Growth Projections," IMF Working Papers 2018/260, International Monetary Fund.
    13. Orazem, Peter F, 2017. "An Evaluation of the State of Iowa Revenue Forecasts, 1995 – 2017," ISU General Staff Papers 201712010800001036, Iowa State University, Department of Economics.
    14. Jeroen Hessel & Niels Gilbert & Jasper de Jong, 2017. "Capitalising on the euro. Options for strengthening the EMU," DNB Occasional Studies 1502, Netherlands Central Bank, Research Department.

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    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H68 - Public Economics - - National Budget, Deficit, and Debt - - - Forecasts of Budgets, Deficits, and Debt

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