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Measuring Forecast Uncertainty by Disagreement: The Missing Link

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Author Info
Kajal Lahiri
Xuguang Sheng

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Abstract

Using a standard decomposition of forecasts errors into common and idiosyncratic shocks, we show that aggregate forecast uncertainty can be expressed as the disagreement among the forecasters plus the perceived variability of future aggregate shocks. Thus, the reliability of disagreement as a proxy for uncertainty will be determined by the stability of the forecasting environment, and the length of the forecast horizon. Using density forecasts from the Survey of Professional Forecasters, we find direct evidence in support of our hypothesis. Our results support the use of GARCH-type models, rather than the ex post squared errors in consensus forecasts, to estimate the ex ante variability of aggregate shocks as a component of aggregate uncertainty.

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Paper provided by University at Albany, SUNY, Department of Economics in its series Discussion Papers with number 09-06.

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Date of creation: 2009
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Handle: RePEc:nya:albaec:09-06

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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
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  1. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2009. "Disagreement among Forecasters in G7 Countries," Macroeconomics and Finance Series 200906, Hamburg University, Department Wirtschaft und Politik. [Downloadable!]
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This page was last updated on 2009-12-13.


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