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Abstract
We propose an imperfect information model for the expectations of macroeconomic forecasters that explains differences in average disagreement levels across forecasters by means of cross sectional heterogeneity in the variance of private noise signals. We show that the forecaster-specific signal-to-noise ratios determine both the average individual disagreement level and an individuals' forecast performance: forecasters with very noisy signals deviate strongly from the average forecasts and report forecasts with low accuracy. We take the model to the data by empirically testing for this implied correlation. Evidence based on data from the Surveys of Professional Forecasters for the US and for the Euro Area supports the model for short- and medium-run forecasts but rejects it based on its implications for long-run forecasts.
Dokumententyp: | Arbeitspapier |
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Name der Reihe: | Discussion Paper Series, University of Heidelberg, Department of Economics |
Band: | 0611 |
Ort der Veröffentlichung: | Heidelberg |
Erstellungsdatum: | 14 Mrz. 2016 14:54 |
Erscheinungsjahr: | März 2016 |
Seitenanzahl: | 14 |
Institute/Einrichtungen: | Fakultät für Wirtschafts- und Sozialwissenschaften > Alfred-Weber Institut |
DDC-Sachgruppe: | 330 Wirtschaft |
Freie Schlagwörter: | disagreement, expectations, imperfect information, signal-to-noise ratio. |
Schriftenreihe: | Discussion Paper Series / University of Heidelberg, Department of Economics |