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The Use and Abuse of Real-Time Data in Economic Forecasting

E. Koenig1; Sheila Dolmas1; Jeremy Piger2

1 Federal Reserve Bank of Dallas · 2 Federal Reserve Bank of St. Louis

The Review of Economics and Statistics 2003

We distinguish between three different strategies for estimating forecasting equations with real-time data and argue that the most popular approach should generally be avoided. The point is illustrated with a model that uses current-quarter monthly industrial production, employment, and retail sales data to predict real GDP growth. When the model is estimated using either of our two alternative methods, its out-of-sample forecasting performance is superior to that obtained using conventional estimation and compares favorably with that of the Blue Chip consensus.

DOI
10.1162/003465303322369768
Volume
85 (3)
Pages
618-628
Language
en
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