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Optimistically biased economic growth forecasts and negatively skewed annual variation

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  • Burgess, Matthew G.
  • Langendorf, Ryan E.
  • Ippolito, Tara
  • Pielke, Roger Jr

Abstract

Authoritative economic growth forecasts are often optimistically biased. Negatively skewed variation--negative shocks being larger than positive shocks--could contribute to bias by making long-run average growth smaller than typical-year (median) growth. This positively biases forecasts based on typical years. We compare medians and means in real per-capita GDP growth across countries, regions, and time windows from 1820-2016. Over decadal periods, we find mean growth rates <1%/y smaller than median growth rates in most countries and regions (median 0.23%/y across countries). Surprisingly, we find both large- and medium-magnitude shocks contribute to these differences, rather than only large ‘black swan’ events. We find negative skewness correlated with high levels and slow growth of per-capita GDP and population, and high per-capita GDP growth volatility, building on previous studies. We find negative skewness alone insufficient to explain recent growth over-projections by the International Monetary Fund (IMF) and the U.S. Congressional Budget Office (CBO).

Suggested Citation

  • Burgess, Matthew G. & Langendorf, Ryan E. & Ippolito, Tara & Pielke, Roger Jr, 2020. "Optimistically biased economic growth forecasts and negatively skewed annual variation," SocArXiv vndqr_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:vndqr_v1
    DOI: 10.31219/osf.io/vndqr_v1
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    1. Robert J. Gordon, 2016. "The Rise and Fall of American Growth: The U.S. Standard of Living since the Civil War," Economics Books, Princeton University Press, edition 1, number 10544.
    2. Feng, Yi, 1997. "Democracy, Political Stability and Economic Growth," British Journal of Political Science, Cambridge University Press, vol. 27(3), pages 391-418, July.
    3. Olivier Blanchard, 2019. "Public Debt and Low Interest Rates," American Economic Review, American Economic Association, vol. 109(4), pages 1197-1229, April.
    4. Maliszewska,Maryla & Mattoo,Aaditya & Van Der Mensbrugghe,Dominique, 2020. "The Potential Impact of COVID-19 on GDP and Trade : A Preliminary Assessment," Policy Research Working Paper Series 9211, The World Bank.
    5. Carmen M. Reinhart & Vincent R. Reinhart & Kenneth S. Rogoff, 2012. "Public Debt Overhangs: Advanced-Economy Episodes since 1800," Journal of Economic Perspectives, American Economic Association, vol. 26(3), pages 69-86, Summer.
    6. Nicholas Bloom & Fatih Guvenen & Sergio Salgado, 2016. "Skewed Business Cycles," 2016 Meeting Papers 1621, Society for Economic Dynamics.
    7. Ulrich K. Müller & James H. Stock & Mark W. Watson, 2019. "An Econometric Model of International Long-run Growth Dynamics," NBER Working Papers 26593, National Bureau of Economic Research, Inc.
    8. Olivier J. Blanchard & Daniel Leigh, 2013. "Growth Forecast Errors and Fiscal Multipliers," American Economic Review, American Economic Association, vol. 103(3), pages 117-120, May.
    9. Martin L. Weitzman, 2009. "On Modeling and Interpreting the Economics of Catastrophic Climate Change," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 1-19, February.
    10. Diebold, Francis X & Rudebusch, Glenn D, 1990. "A Nonparametric Investigation of Duration Dependence in the American Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 98(3), pages 596-616, June.
    11. Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
    12. Tatevik Sekhposyan & Barbara Rossi, 2008. "Has modelsí forecasting performance for US output growth and inflation changed over time, and when?," Working Papers 09-02, Duke University, Department of Economics.
    13. Gu, Zhaoyang & Wu, Joanna Shuang, 2003. "Earnings skewness and analyst forecast bias," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 5-29, April.
    14. Geert Bekaert & Alexander Popov, 2019. "On the Link Between the Volatility and Skewness of Growth," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(4), pages 746-790, December.
    15. Ulrich K. Müller & Mark W. Watson, 2016. "Measuring Uncertainty about Long-Run Predictions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1711-1740.
    16. Rossi, Barbara & Sekhposyan, Tatevik, 2010. "Have economic models' forecasting performance for US output growth and inflation changed over time, and when?," International Journal of Forecasting, Elsevier, vol. 26(4), pages 808-835, October.
    17. Geert Bekaert & Eric Engstrom, 2017. "Asset Return Dynamics under Habits and Bad Environment-Good Environment Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 125(3), pages 713-760.
    18. Richard Startz, 2020. "The next hundred years of growth and convergence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 99-113, January.
    19. Joseph Zeira, 1994. "Informational Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 31-44.
    20. Acemoglu, Daron & Scott, Andrew, 1994. "Asymmetries in the Cyclical Behaviour of UK Labour Markets," Economic Journal, Royal Economic Society, vol. 104(427), pages 1303-1323, November.
    21. Inklaar, Robert & de Jong, Harmen & Bolt, Jutta & van Zanden, Jan, 2018. "Rebasing 'Maddison': new income comparisons and the shape of long-run economic development," GGDC Research Memorandum GD-174, Groningen Growth and Development Centre, University of Groningen.
    22. Allan Timmermann, 2007. "An Evaluation of the World Economic Outlook Forecasts," IMF Staff Papers, Palgrave Macmillan, vol. 54(1), pages 1-33, May.
    23. Frank-Oliver Aldenhoff, 2007. "Are economic forecasts of the International Monetary Fund politically biased? A public choice analysis," The Review of International Organizations, Springer, vol. 2(3), pages 239-260, September.
    24. Krause, George A. & Corder, J. Kevin, 2007. "Explaining Bureaucratic Optimism: Theory and Evidence from U.S. Executive Agency Macroeconomic Forecasts," American Political Science Review, Cambridge University Press, vol. 101(1), pages 129-142, February.
    25. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
    26. Acemoglu, Daron & Scott, Andrew, 1997. "Asymmetric business cycles: Theory and time-series evidence," Journal of Monetary Economics, Elsevier, vol. 40(3), pages 501-533, December.
    27. Stéphane Dupraz & Emi Nakamura & Jón Steinsson, 2019. "A Plucking Model of Business Cycles," NBER Working Papers 26351, National Bureau of Economic Research, Inc.
    28. Popov, Alexander, 2014. "Credit constraints, equity market liberalization, and growth rate asymmetry," Journal of Development Economics, Elsevier, vol. 107(C), pages 202-214.
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