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Comment on "Star Wars: The Empirics Strike Back"

Author

Listed:
  • Adam Gorajek
  • Benjamin A. Malin

Abstract

Using a novel meta-analytical method, Brodeur et al. (2016) argue that hypothesis tests in top economic journals have exaggerated levels of statistical significance. Brodeur et al. (2020) apply the same method to another sample of hypothesis tests, obtaining similar results. We investigate the reliability of the method by highlighting questionable assumptions and compiling a dataset to examine their merits. Our findings support the original conclusions.

Suggested Citation

  • Adam Gorajek & Benjamin A. Malin, 2021. "Comment on "Star Wars: The Empirics Strike Back"," Staff Report 629, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmsr:93460
    DOI: 10.21034/sr.629
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    References listed on IDEAS

    as
    1. Leeb, Hannes & Pötscher, Benedikt M., 2005. "Model Selection And Inference: Facts And Fiction," Econometric Theory, Cambridge University Press, vol. 21(1), pages 21-59, February.
    2. Abel Brodeur & Nikolai Cook & Anthony Heyes, 2020. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics," American Economic Review, American Economic Association, vol. 110(11), pages 3634-3660, November.
    3. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Researcher bias; Research credibility; Research replicability; Z-curve;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

    NEP fields

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