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The use and abuse of "real-time" data in economic forecasting Author info | Abstract | Publisher info | Download info | Related research | Statistics Evan F. Koenig
Sheila Dolmas
Jeremy Piger
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We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most frequently used approach should generally be avoided. The point is illustrated with a model that uses monthly observations of industrial production, employment, and retail sales to predict real GDP growth. When the model is estimated using our preferred method, its out-of-sample forecasting performance is clearly superior to that obtained using conventional estimation, and compares favorably with that of the Blue-Chip consensus.
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Paper provided by Federal Reserve Bank of Dallas in its series Working Papers with number
00-04.
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Date of creation: 2000Date of revision:
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Keywords: Gross domestic product Other versions of this item:
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