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Replication code as a cornerstone of the credibility revolution 2.0

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  • Marcus, Jan

Abstract

This opinion piece argues that code sharing is a key yet underutilized component of research transparency and the ongoing “Credibility Revolution 2.0.” It outlines the benefits of providing replication code for both individual researchers and the broader scientific community, and explains why alternative methods of documenting the details of the research process fall short. The opinion piece concludes with concrete recommendations for how different groups in the scientific community can help make code sharing the norm in empirical research.

Suggested Citation

  • Marcus, Jan, 2025. "Replication code as a cornerstone of the credibility revolution 2.0," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 117(C).
  • Handle: RePEc:eee:soceco:v:117:y:2025:i:c:s2214804325000746
    DOI: 10.1016/j.socec.2025.102410
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    References listed on IDEAS

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    1. Brodeur, Abel & Mikola, Derek & Cook, Nikolai & Brailey, Thomas & Briggs, Ryan & de Gendre, Alexandra & Dupraz, Yannick & Fiala, Lenka & Gabani, Jacopo & Gauriot, Romain & Haddad, Joanne & Federice, A, 2024. "Mass Reproducibility and Replicability: A New Hope," I4R Discussion Paper Series 107, The Institute for Replication (I4R).
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    4. Anna Dreber & Magnus Johannesson, 2025. "A framework for evaluating reproducibility and replicability in economics," Economic Inquiry, Western Economic Association International, vol. 63(2), pages 338-356, April.
    5. Miloš Fišar & Ben Greiner & Christoph Huber & Elena Katok & Ali I. Ozkes, 2024. "Reproducibility in Management Science," Management Science, INFORMS, vol. 70(3), pages 1343-1356, March.
    6. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    7. Valérie Orozco & Christophe Bontemps & Elise Maigné & Virginie Piguet & Annie Hofstetter & Anne Lacroix & Fabrice Levert & Jean‐Marc Rousselle, 2020. "How To Make A Pie: Reproducible Research For Empirical Economics And Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1134-1169, December.
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