IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v244y2024i3p277-288n3.html
   My bibliography  Save this article

The IWH Forecasting Dashboard: From Forecasts to Evaluation and Comparison

Author

Listed:
  • Heinisch Katja

    (Halle Institute for Economic Research (IWH), Halle, Germany)

  • Behrens Christoph

    (Freie und Hansestadt Hamburg, Hamburg, Germany)

  • Döpke Jörg
  • Köhler Tim

    (Hochschule Merseburg, Merseburg, Germany)

  • Foltas Alexander

    (Helmut-Schmidt-Universität Hamburg, Hamburg, Germany)

  • Fritsche Ulrich

    (Universität Hamburg, Hamburg, Germany)

  • Müller Karsten

    (Deutsches Zentrum für Luft- und Raumfahrt, Institut für Vernetzte Energiesysteme, Stuttgart, Germany)

  • Puckelwald Johannes

    (Deutsches Maritimes Zentrum Hamburg, Hamburg, Germany)

  • Reichmayr Hannes

    (Martin-Luther-Universität Halle-Wittenberg, Halle, Germany)

Abstract

The paper describes the “Halle Institute for Economic Research (IWH) Forecasting Dashboard (ForDas)”. This tool aims at providing, on a non-commercial basis, historical and actual macroeconomic forecast data for the Germany economy to researchers and interested audiences. The database renders it possible to directly compare forecast quality across selected institutions and over time. It is partly based on data collected in the DFG-funded project “Macroeconomic forecasts in great crisis”.

Suggested Citation

  • Heinisch Katja & Behrens Christoph & Döpke Jörg & Köhler Tim & Foltas Alexander & Fritsche Ulrich & Müller Karsten & Puckelwald Johannes & Reichmayr Hannes, 2024. "The IWH Forecasting Dashboard: From Forecasts to Evaluation and Comparison," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(3), pages 277-288, June.
  • Handle: RePEc:jns:jbstat:v:244:y:2024:i:3:p:277-288:n:3
    DOI: 10.1515/jbnst-2023-0011
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2023-0011
    Download Restriction: no

    File URL: https://libkey.io/10.1515/jbnst-2023-0011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    forecasting; macroeconomic data;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jns:jbstat:v:244:y:2024:i:3:p:277-288:n:3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.