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Macrofinancial Causes of Optimism in Growth Forecasts

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  • Mr. Yan Carriere-Swallow
  • José Marzluf

Abstract

We analyze the causes of the apparent bias towards optimism in growth forecasts underpinning the design of IMF-supported programs, which has been documented in the literature. We find that financial variables observable to forecasters are strong predictors of growth forecast errors. The greater the expansion of the credit-to-GDP gap in the years preceding a program, the greater its over-optimism about growth over the next two years. This result is strongest among forecasts that were most optimistic, where errors are also increasing in the economy’s degree of liability dollarization. We find that the inefficient use of financial information applies to growth forecasts more broadly, including the IMF’s forecasts in the World Economic Outlook and those produced by professional forecasters compiled by Consensus Economics. We conclude that improved macrofinancial analysis represents a promising avenue for reducing over-optimism in growth forecasts.

Suggested Citation

  • Mr. Yan Carriere-Swallow & José Marzluf, 2021. "Macrofinancial Causes of Optimism in Growth Forecasts," IMF Working Papers 2021/275, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2021/275
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    1. Divya Kirti, 2018. "Lending standards and output growth," 2018 Meeting Papers 203, Society for Economic Dynamics.
    2. Luc Laeven & Fabian Valencia, 2020. "Systemic Banking Crises Database II," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(2), pages 307-361, June.
    3. Claessens, Stijn & Kose, M. Ayhan & Terrones, Marco E., 2012. "How do business and financial cycles interact?," Journal of International Economics, Elsevier, vol. 87(1), pages 178-190.
    4. Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
    5. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    6. √Íscar Jord√Ä & Moritz Schularick & Alan M. Taylor, 2013. "When Credit Bites Back," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 3-28, December.
    7. Paul Beaudry & Tim Willems, 2022. "On the Macroeconomic Consequences of Over-Optimism," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 38-59, January.
    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. Mathias Drehmann & James Yetman, 2021. "Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
    10. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    11. Claudio Borio, 2014. "The financial cycle and macroeconomics: what have we learned and what are the policy implications?," Chapters, in: Ewald Nowotny & Doris Ritzberger-Grünwald & Peter Backé (ed.), Financial Cycles and the Real Economy, chapter 2, pages 10-35, Edward Elgar Publishing.
    12. Chen, Sophia & Ranciere, Romain, 2019. "Financial information and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1160-1174.
    13. Laeven, Luc & Valencia, Fabian, 2020. "Systemic Banking Crises Database: A Timely Update in COVID-19 Times," CEPR Discussion Papers 14569, C.E.P.R. Discussion Papers.
    14. Kareem Ismail & Mr. Roberto Perrelli & Jessie Yang, 2020. "Optimism Bias in Growth Forecasts—The Role of Planned Policy Adjustments," IMF Working Papers 2020/229, International Monetary Fund.
    15. Allan Timmermann, 2007. "An Evaluation of the World Economic Outlook Forecasts," IMF Staff Papers, Palgrave Macmillan, vol. 54(1), pages 1-33, May.
    16. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    17. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Vulnerable Growth," American Economic Review, American Economic Association, vol. 109(4), pages 1263-1289, April.
    18. Eicher, Theo S. & Kuenzel, David J. & Papageorgiou, Chris & Christofides, Charis, 2019. "Forecasts in times of crises," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1143-1159.
    19. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    20. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    21. Giang Ho & Paolo Mauro, 2016. "Growth—Now and Forever?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(3), pages 526-547, August.
    22. Alberto Musso & Steven Phillips, 2002. "Comparing Projections and Outcomes of IMF-Supported Programs," IMF Staff Papers, Palgrave Macmillan, vol. 49(1), pages 1-3.
    23. Yan Carrière‐Swallow & Antonio C. David & Daniel Leigh, 2021. "Macroeconomic Effects of Fiscal Consolidation in Emerging Economies: New Narrative Evidence from Latin America and the Caribbean," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1313-1335, September.
    24. Philip Lowe & Claudio Borio, 2002. "Asset prices, financial and monetary stability: exploring the nexus," BIS Working Papers 114, Bank for International Settlements.
    25. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    26. Zidong An & João Tovar Jalles & Prakash Loungani, 2018. "How well do economists forecast recessions?," International Finance, Wiley Blackwell, vol. 21(2), pages 100-121, June.
    27. Carrière-Swallow, Yan & Céspedes, Luis Felipe, 2013. "The impact of uncertainty shocks in emerging economies," Journal of International Economics, Elsevier, vol. 90(2), pages 316-325.
    28. Stijn Claessens & M. Ayhan Kose & Marco E. Terrones, 2009. "What happens during recessions, crunches and busts? [Business cycles for G-7 and European countries]," Economic Policy, CEPR;CES;MSH, vol. 24(60), pages 653-700.
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    Cited by:

    1. Eicher, Theo S. & Kawai, Reina, 2023. "IMF trade forecasts for crisis countries: Bias, inefficiency, and their origins," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1615-1639.

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    More about this item

    Keywords

    Macroeconomic forecasting; Financial markets and the macroeconomy; Credit growth; IMF's forecast; credit-to-GDP gap; growth forecast; program approval; MONA database; surveillance activity; Fiscal consolidation; Credit; Credit booms; Production growth; Fiscal multipliers; Global;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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