A multivariate analysis of forecast disagreement: confronting models of disagreement with survey data

This paper documents multivariate forecast disagreement among professional forecasters and discusses implications for models of heterogeneous expectation formation. Disagreement varies over time and is positively correlated with general (economic) uncertainty. The degree to which individual forecast...

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Bibliographic Details
Main Author: Dovern, Jonas (Author)
Format: Article (Journal)
Language:English
Published: 8 September 2015
In: European economic review
Year: 2015, Volume: 80, Pages: 16-35
ISSN:1873-572X
DOI:10.1016/j.euroecorev.2015.08.009
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.euroecorev.2015.08.009
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0014292115001257
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Author Notes:Jonas Dovern
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Summary:This paper documents multivariate forecast disagreement among professional forecasters and discusses implications for models of heterogeneous expectation formation. Disagreement varies over time and is positively correlated with general (economic) uncertainty. The degree to which individual forecasters disagree with the average forecast tends to persist over time. Models of heterogeneous expectation formation can be modified by introducing heterogeneous signal-to-noise ratios to match this feature. Furthermore, disagreement about correlations of different macroeconomic variables is high on average. In general, multivariate forecast data can be used more effectively than it has been to estimate models with heterogeneous expectations and to test the mechanisms used to generate disagreement in these models.
Item Description:Gesehen am 25.06.2020
Physical Description:Online Resource
ISSN:1873-572X
DOI:10.1016/j.euroecorev.2015.08.009