IDEAS home Printed from https://ideas.repec.org/p/cdl/econwp/qt9cq8j822.html
   My bibliography  Save this paper

Reporting all results efficiently: A RARE proposal to open up the file drawer

Author

Listed:
  • Laitin, David D
  • Miguel, Edward
  • Alrababa’h, Ala’
  • Bogdanoski, Aleksandar
  • Grant, Sean
  • Hoeberling, Katherine
  • Mo, Cecilia Hyunjung
  • Moore, Don A
  • Vazire, Simine
  • Weinstein, Jeremy
  • Williamson, Scott

Abstract

While the social sciences have made impressive progress in adopting transparent research practices that facilitate verification, replication, and reuse of materials, the problem of publication bias persists. Bias on the part of peer reviewers and journal editors, as well as the use of outdated research practices by authors, continues to skew literature toward statistically significant effects, many of which may be false positives. To mitigate this bias, we propose a framework to enable authors to report all results efficiently (RARE), with an initial focus on experimental and other prospective empirical social science research that utilizes public study registries. This framework depicts an integrated system that leverages the capacities of existing infrastructure in the form of public registries, institutional review boards, journals, and granting agencies, as well as investigators themselves, to efficiently incentivize full reporting and thereby, improve confidence in social science findings. In addition to increasing access to the results of scientific endeavors, a well-coordinated research ecosystem can prevent scholars from wasting time investigating the same questions in ways that have not worked in the past and reduce wasted funds on the part of granting agencies.

Suggested Citation

  • Laitin, David D & Miguel, Edward & Alrababa’h, Ala’ & Bogdanoski, Aleksandar & Grant, Sean & Hoeberling, Katherine & Mo, Cecilia Hyunjung & Moore, Don A & Vazire, Simine & Weinstein, Jeremy & Williams, 2021. "Reporting all results efficiently: A RARE proposal to open up the file drawer," Department of Economics, Working Paper Series qt9cq8j822, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  • Handle: RePEc:cdl:econwp:qt9cq8j822
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/9cq8j822.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Prevention; research transparency; registries; null findings; publication bias; file drawer problem;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cdl:econwp:qt9cq8j822. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/ibbrkus.html .

    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.