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Real-time GDP Growth Forecasts

Author

Listed:
  • Sheila Dolmas
  • Evan F. Koenig

Abstract

The authors forecast current-quarter real GDP growth using monthly data that would have been available to an analyst in real time. They demonstrate that using real-time data is of major importance both when estimating GDP forecasting models and when evaluating their performance. Moreover, the authors show that the out-of-sample forecasting performance of their model is comparable or superior to that of the Blue-Chip consensus forecast provided that more than one month of current-quarter data are available

Suggested Citation

  • Sheila Dolmas & Evan F. Koenig, 1997. "Real-time GDP Growth Forecasts," Working Papers 9710, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddwp:97-10
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    Citations

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    Cited by:

    1. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    2. Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
    3. Balke, Nathan S & Petersen, D'Ann, 2002. "How Well Does the Beige Book Reflect Economic Activity? Evaluating Qualitative Information Quantitatively," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 114-136, February.
    4. Tom Stark, 2000. "Does current-quarter information improve quarterly forecasts for the U.S. economy?," Working Papers 00-2, Federal Reserve Bank of Philadelphia.
    5. Dean Croushore & Tom Stark, 2000. "A real-time data set for macroeconomists: does data vintage matter for forecasting?," Working Papers 00-6, Federal Reserve Bank of Philadelphia.
    6. Dean Croushore & Tom Stark, 1999. "Does data vintage matter for forecasting?," Working Papers 99-15, Federal Reserve Bank of Philadelphia.

    More about this item

    Keywords

    Gross domestic product;

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