Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios

Konferenzbeitrag

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2016: Demographischer Wandel - Session: Applied Macroeconometrics ; No. A01-V3

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications ; Information, Knowledge, and Uncertainty: General ; Forecasting Models; Simulation Methods

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hartmann, Matthias ; Dovern, Jonas
• Ereignis: Veröffentlichung
• (wer): ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
• (wo): Kiel und Hamburg
• (wann): 2016

Weitere Informationen

• Handle: http://hdl.handle.net/10419/145925
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ