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Interpreting the Performance of Business Economists During the Great Recession

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  • Kathryn Lundquist
  • Herman O Stekler

Abstract

It is generally believed that the recession of 2007–09 was not foreseen by business economists. Is this perceived view accurate? We explore this issue by examining business economists’ published statements about economic conditions. We compare these qualitative forecasts with the Beige Book. We conclude that both sets of data are similar and that business economists are responsive to information about the economy and adjust their predictions quickly.

Suggested Citation

  • Kathryn Lundquist & Herman O Stekler, 2012. "Interpreting the Performance of Business Economists During the Great Recession," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 47(2), pages 148-154, April.
    • Handle: RePEc:pal:buseco:v:47:y:2012:i:2:p:148-154
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    Cited by:

    1. Mathy, Gabriel & Stekler, Herman, 2017. "Expectations and forecasting during the Great Depression: Real-time evidence from the business press," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 1-15.
    2. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    3. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    4. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    5. Jos Jansen & Jasper de Winter, 2016. "Improving model-based near-term GDP forecasts by subjective forecasts: A real-time exercise for the G7 countries," DNB Working Papers 507, Netherlands Central Bank, Research Department.
    6. Jansen, W. Jos & Jin, Xiaowen & de Winter, Jasper M., 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," International Journal of Forecasting, Elsevier, vol. 32(2), pages 411-436.
    7. Kovacs Kevin & Boulier Bryan & Stekler Herman, 2017. "Nowcasting: Identifying German Cyclical Turning Points," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(4), pages 329-341, August.
    8. Stekler, Herman & Symington, Hilary, 2016. "Evaluating qualitative forecasts: The FOMC minutes, 2006–2010," International Journal of Forecasting, Elsevier, vol. 32(2), pages 559-570.
    9. Gabriel Mathy & Herman Stekler, 2018. "Was the deflation of the depression anticipated? An inference using real-time data," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(2), pages 117-125, April.
    10. Ulrich Fritsche & Johannes Puckelwald, 2018. "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series 201804, University of Hamburg, Department of Socioeconomics.
    11. Herman O. Stekler & Hilary Symington, 2014. "How Did The Fomc View The Great Recession As It Was Happening?: Evaluating The Minutes From Fomc Meetings, 2006-2010," Working Papers 2014-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    12. Bespalova, Olga, 2020. "GDP forecasts: Informational asymmetry of the SPF and FOMC minutes," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1531-1540.
    13. Amrendra Pandey & Jagadish Shettigar & Amarnath Bose, 2021. "Evaluation of the Inflation Forecasting Process of the Reserve Bank of India: A Text Analysis Approach," SAGE Open, , vol. 11(3), pages 21582440211, July.
    14. Yongchen Zhao, 2020. "Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 77-97, November.

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