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Job market stars: Statistical significance and academic hiring in economics

Author

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  • Brodeur, Abel
  • Kattan, Lamis
  • Musumeci, Marco

Abstract

This study investigates recruitment bias in the academic job market. We examine the link between statistical significance and placement outcomes for 200 empirical job market papers from 2018-2021. Marginally significant results are associated with higher academic placement likelihoods , suggesting a preference for statistical significance. This bias may incentivize questionable research practices. The COVID-19 pandemic intensified these dynamics, with marginal significance gaining greater weight in hiring decisions during competitive periods. Evidence of publication bias indicates recruiters may use statistical significance to predict future publications, shaping hiring decisions. These findings highlight systemic challenges to research integrity in economics.

Suggested Citation

  • Brodeur, Abel & Kattan, Lamis & Musumeci, Marco, 2026. "Job market stars: Statistical significance and academic hiring in economics," European Economic Review, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:eecrev:v:187:y:2026:i:c:s0014292126000978
    DOI: 10.1016/j.euroecorev.2026.105353
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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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