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Uncertainty in Forecasts of Long-Run Productivity Growth

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  • Christensen, Peter
  • Gillingham, Kenneth
  • Nordhaus, William

Abstract

Long-run forecasts of productivity growth and related uncertainty have become important in policy analysis. However, a thin long-run forecast literature has led to a practice of using ranges of point estimates to partially bound this uncertainty rather than fully parameterizing uncertainty in long-run growth rates. Building on methods established to use short-run forecasts in the growth literature, we use a sample of expert forecasts to study global and regional productivity growth rates (output per capita) for the periods 2010-2050 and 2010-2100. In our sample, the aggregate expectation for average growth rates between 2010-2100 is 2.06% per year, with a standard deviation of 1.12 percentage points. Results from this method indicate substantially higher uncertainty in global growth rates than what is implied by estimates used in existing policy research that are used to project the damages from global climate change. We discuss the strengths and limitations available estimates and implications for policy decisions. Keywords: economic growth, forecasting, climate change policy

Suggested Citation

  • Christensen, Peter & Gillingham, Kenneth & Nordhaus, William, 2016. "Uncertainty in Forecasts of Long-Run Productivity Growth," Conference papers 332787, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:332787
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    References listed on IDEAS

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    1. Acemoglu, Daron & Johnson, Simon & Robinson, James A., 2005. "Institutions as a Fundamental Cause of Long-Run Growth," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 6, pages 385-472, Elsevier.
    2. Lee, Ronald & Tuljapurkar, Shripad, 1998. "Uncertain Demographic Futures and Social Security Finances," American Economic Review, American Economic Association, vol. 88(2), pages 237-241, May.
    3. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1, May.
    4. Arrow, K. & Cropper, M. & Gollier, C. & Groom, B. & Heal, G. & Newell, R. & Nordhaus, W. & Pindyck, R. & Pizer, W. & Portney, P. & Sterner, T. & Tol, R. S. J. & Weitzman, Martin L., 2013. "Determining Benefits and Costs for Future Generations," Scholarly Articles 12841963, Harvard University Department of Economics.
    5. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    6. Victor Zarnowitz, 1992. "Consensus and Uncertainty in Economic Prediction," NBER Chapters, in: Business Cycles: Theory, History, Indicators, and Forecasting, pages 492-518, National Bureau of Economic Research, Inc.
    7. Robert J. Gordon, 2012. "Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds," NBER Working Papers 18315, National Bureau of Economic Research, Inc.
    8. Lloyd B. Thomas, 1999. "Survey Measures of Expected U.S. Inflation," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 125-144, Fall.
    9. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    10. Robert Rich & Joseph Tracy, 2010. "The Relationships among Expected Inflation, Disagreement, and Uncertainty: Evidence from Matched Point and Density Forecasts," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 200-207, February.
    11. Robert J. Barro & Jose F. Ursua, 2008. "Macroeconomic Crises since 1870," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(1 (Spring), pages 255-350.
    12. Richard B. Freeman, 2010. "What Does Global Expansion of Higher Education Mean for the United States?," NBER Chapters, in: American Universities in a Global Market, pages 373-404, National Bureau of Economic Research, Inc.
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