IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/234.html
   My bibliography  Save this paper

The Robustness Dashboard

Author

Listed:
  • Bensch, Gunther
  • Rose, Julian
  • Brodeur, Abel
  • Ankel-Peters, Jörg

Abstract

Transparent communication of robustness is essential in empirical research, yet existing tools can be difficult to interpret. This paper introduces the robustness dashboard, a graphical tool that visualizes the results of robustness reproductions into a single, intuitive graph. The robustness dashboard draws on a multiverse of analytical paths to illustrate their effect on statistical significance. It complements existing visualisations, such as specification curves, by offering a more compact and accessible summary of robustness patterns. The dashboard can be easily implemented using our Stata command repframe and scaled according to the number of outcomes, ranging from stand-alone reproductions to meta-reproductions.

Suggested Citation

  • Bensch, Gunther & Rose, Julian & Brodeur, Abel & Ankel-Peters, Jörg, 2025. "The Robustness Dashboard," I4R Discussion Paper Series 234, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:234
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/319180/1/I4R-DP234.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    robustness; multiverse analysis; reproducibility; data visualization; research transparency; meta-science;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    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:zbw:i4rdps:234. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.i4replication.org/ .

    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.