November 2000

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

Evan Koenig, Sheila Dolmas, and Jeremy Piger

Abstract:

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.

PDF: Full Paper

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Last Update: February 05, 2021