IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v112y2022i9p3124-36.html
   My bibliography  Save this article

Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment

Author

Listed:
  • Sebastian Kranz
  • Peter Pütz

Abstract

Brodeur, Cook, and Heyes (2020) study hypothesis tests from economic articles and find evidence for p-hacking and publication bias, in particular for instrumental variable and difference-in-difference studies. When adjusting for rounding errors (introducing a novel method), statistical evidence for p-hacking from randomization tests and caliper tests at the 5 percent significance threshold vanishes for difference-in-difference studies but remains for instrumental variable studies. Results at the 1 percent and 10 percent significance thresholds remain largely similar. In addition, Brodeur, Cook, and Heyes derive latent distributions of z-statistics absent publication bias using two different approaches. We establish for each approach a result that challenges its applicability.

Suggested Citation

  • Sebastian Kranz & Peter Pütz, 2022. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment," American Economic Review, American Economic Association, vol. 112(9), pages 3124-3136, September.
  • Handle: RePEc:aea:aecrev:v:112:y:2022:i:9:p:3124-36
    DOI: 10.1257/aer.20210121
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20210121
    Download Restriction: no

    File URL: https://doi.org/10.3886/E159221V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20210121.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20210121.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/aer.20210121?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," EconStor Preprints 268683, ZBW - Leibniz Information Centre for Economics.
    2. Ankel-Peters, Jörg & Fiala, Nathan & Neubauer, Florian, 2023. "Do economists replicate?," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 219-232.
    3. Abel Brodeur & Scott Carrell & David Figlio & Lester Lusher, 2023. "Unpacking P-hacking and Publication Bias," American Economic Review, American Economic Association, vol. 113(11), pages 2974-3002, November.
    4. Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana, 2022. "Relative Risk Aversion: A Meta-Analysis," MetaArXiv b8uhe, Center for Open Science.
    5. Danielle V. Handel & Eric A. Hanushek, 2023. "Contexts of Convenience: Generalizing from Published Evaluations of School Finance Policies," NBER Working Papers 31653, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:aea:aecrev:v:112:y:2022:i:9:p:3124-36. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.