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Estimating Fundamental Cross-Section Dispersion from Fixed Event Forecasts

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  • Jonas Dovern
  • Ulrich Fritsche

Abstract

A couple of recent papers have shifted the focus towards disagreement of professional forecasters. When dealing with survey data that is sampled at a frequency higher than annual and that includes only fixed event forecasts, e.g. expectation of average annual growth rates measures of disagreement across forecasters naturally are distorted by a component that mainly reflects the time varying forecast horizon. We use data from the Survey of Professional Forecasters, which reports both fixed event and fixed horizon forecasts, to evaluate different methods for extracting the "fundamental" component of disagreement. Based on the paper's results we suggest two methods to estimate dispersion measures from panels of fixed event forecasts: a moving average transformation of the underlying forecasts and estimation with constant forecast-horizon- effects. Both models are easy to handle and deliver equally well performing results, which show a surprisingly high correlation (up to 0:94) with the true dispersion.

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Bibliographic Info

Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 787.

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Length: 13 p.
Date of creation: 2008
Date of revision:
Handle: RePEc:diw:diwwpp:dp787

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Keywords: Survey data; dispersion; disagreement; fixed event forecasts;

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Cited by:
  1. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2009. "Disagreement among Forecasters in G7 Countries," Macroeconomics and Finance Series, Hamburg University, Department Wirtschaft und Politik 200906, Hamburg University, Department Wirtschaft und Politik.

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