IDEAS home Printed from https://ideas.repec.org/a/eee/corfin/v94y2025ics0929119925001105.html
   My bibliography  Save this article

Special issue on non-significant results

Author

Listed:
  • Ringgenberg, Matthew C.

Abstract

Academic journals are biased towards publishing results that are statistically significant and this bias can lead to incorrect inferences about economic parameters of interest. This special issue was created as a counter to this bias. The issue contains a mix of articles on important economic questions regardless of whether they document statistically significant results. Some of these articles provide evidence that a well-established result in the literature is not reliably confirmed in existing data, some provide novel empirical evidence that a theorized result is not statistically significant, and some of the articles provide methodological improvements to assist future research. In this preface to the special issue, I provide a brief overview of the literature on publication bias and discuss some of the proposed remedies with a goal of improving inference about important economic questions and encouraging academics to pursue research even if the results are not statistically significant.

Suggested Citation

  • Ringgenberg, Matthew C., 2025. "Special issue on non-significant results," Journal of Corporate Finance, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:corfin:v:94:y:2025:i:c:s0929119925001105
    DOI: 10.1016/j.jcorpfin.2025.102842
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0929119925001105
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcorpfin.2025.102842?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    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:eee:corfin:v:94:y:2025:i:c:s0929119925001105. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcorpfin .

    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.