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Promoting Reproducibility and Replicability in Political Science

Author

Listed:
  • Brodeur, Abel
  • Esterling, Kevin
  • Ankel-Peters, Jörg
  • Bueno, Natália S
  • Desposato, Scott
  • Dreber, Anna
  • Genovese, Federica
  • Green, Donald P
  • Hepplewhite, Matthew
  • de la Guardia, Fernando Hoces
  • Johannesson, Magnus
  • Kotsadam, Andreas
  • Miguel, Edward
  • Velez, Yamil R
  • Young, Lauren

Abstract

This article reviews and summarizes current reproduction and replication practices in political science. We first provide definitions for reproducibility and replicability. We then review data availability policies for 28 leading political science journals and present the results from a survey of editors about their willingness to publish comments and replications. We discuss new initiatives that seek to promote and generate high-quality reproductions and replications. Finally, we make the case for standards and practices that may help increase data availability, reproducibility, and replicability in political science.

Suggested Citation

  • Brodeur, Abel & Esterling, Kevin & Ankel-Peters, Jörg & Bueno, Natália S & Desposato, Scott & Dreber, Anna & Genovese, Federica & Green, Donald P & Hepplewhite, Matthew & de la Guardia, Fernando Hoces, 2024. "Promoting Reproducibility and Replicability in Political Science," Department of Economics, Working Paper Series qt23n3n3dg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    • Handle: RePEc:cdl:econwp:qt23n3n3dg
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    References listed on IDEAS

    as
    1. 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.
    2. Daniel S. Hamermesh, 2007. "Viewpoint: Replication in economics," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 715-733, August.
    3. Andrew C. Chang & Phillip Li, 2022. "Is Economics Research Replicable? Sixty Published Papers From Thirteen Journals Say “Often Notâ€," Critical Finance Review, now publishers, vol. 11(1), pages 185-206, February.
    4. Michael A. Clemens, 2017. "The Meaning Of Failed Replications: A Review And Proposal," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 326-342, February.
    5. 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.
    6. repec:cup:apsrev:v:113:y:2019:i:03:p:838-859_00 is not listed on IDEAS
    7. Paul Gertler & Sebastian Galiani & Mauricio Romero, 2018. "How to make replication the norm," Nature, Nature, vol. 554(7693), pages 417-419, February.
    8. Gerber, Alan & Malhotra, Neil, 2008. "Do Statistical Reporting Standards Affect What Is Published? Publication Bias in Two Leading Political Science Journals," Quarterly Journal of Political Science, now publishers, vol. 3(3), pages 313-326, October.
    9. Abel Brodeur & Anna Dreber & Fernando Hoces de la Guardia & Edward Miguel, 2023. "Replication games: how to make reproducibility research more systematic," Nature, Nature, vol. 621(7980), pages 684-686, September.
    10. Blair, Graeme & Cooper, Jasper & Coppock, Alexander & Humphreys, Macartan, 2019. "Declaring and Diagnosing Research Designs," American Political Science Review, Cambridge University Press, vol. 113(3), pages 838-859, August.
    11. Justin McCrary, 2002. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime: Comment," American Economic Review, American Economic Association, vol. 92(4), pages 1236-1243, September.
    12. Blair, Graeme & Cooper, Jasper & Coppock, Alexander & Humphreys, Macartan, 2019. "Declaring and Diagnosing Research Designs," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 113(3), pages 838-859.
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    Keywords

    Political Science; Human Society; Reproducibility; replicability; political science; Political science;
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