A real-time analysis on the importance of hard and soft data for nowcasting German GDP

Konferenzbeitrag

In this paper we reexamine the relative role of soft and hard data in terms of short-term GDP forecasting. We employ mixed frequency models (MF-VARS) and real-time data to investigate the relative role of survey data relative to industrial production and orders in Germany. Special emphasis is given to the real-time data flow of surveys, production and orders. Although we find evidence that the forecast characteristics based on real-time and final data releases differ, we see only little impact on the relative forecasting performance of indicator models. However, when it comes to optimally combine soft and hard data, the use of final release data may understate the relative role of survey information.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2016: Demographischer Wandel - Session: Forecasting and Information Transmission ; No. B01-V3

Classification and Topics

• Classification: Wirtschaft ; Forecasting Models; Simulation Methods ; Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Heinisch, Katja
• Event: Veröffentlichung
• (who): ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
• (where): Kiel und Hamburg
• (when): 2016

Further information

• Handle: http://hdl.handle.net/10419/145864
• Last update: 10.03.2025, 11:45 AM CET