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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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    Cited by:

    1. Charlotte Fabri & Sergei Schaub & Steven Van Passel & Tobias Dalhaus, 2026. "Assessing Omitted Variable Bias in Ricardian models’ Estimates of Climate Change Impacts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 89(3), pages 1-32, March.
    2. Jörg Ankel‐Peters & Nathan Fiala & Florian Neubauer, 2025. "Is economics self‐correcting? Replications in the American Economic Review," Economic Inquiry, Western Economic Association International, vol. 63(2), pages 463-485, April.
    3. Balafoutas, Loukas & Celse, Jeremy & Karakostas, Alexandros & Umashev, Nicholas, 2025. "Incentives and the replication crisis in social sciences: A critical review of open science practices," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 114(C).
    4. Daniel Homocianu, 2025. "Global Patterns of Parental Concerns About Children’s Education: Insights from WVS Data," Societies, MDPI, vol. 15(2), pages 1-47, February.
    5. Mußhoff, Oliver & Ölkers, Tim & Kirchner, Ella, 2024. "A note on the discussion regarding terrorism and land use in agriculture," Land Use Policy, Elsevier, vol. 144(C).
    6. Brodeur, Abel & Valenta, David & Marcoci, Alexandru & Aparicio, Juan P. & Mikola, Derek & Barbarioli, Bruno & Alexander, Rohan & Deer, Lachlan & Stafford, Tom & Vilhuber, Lars & Bensch, Gunther & Gold, 2025. "Comparing Human-Only, AI-Assisted, and AI-Led Teams on Assessing Research Reproducibility in Quantitative Social Science," I4R Discussion Paper Series 195, The Institute for Replication (I4R).
    7. Buchner, Martin & Rose, Julian & Johannesson, Magnus & Malan, Mandy & Ankel-Peters, Jörg, 2025. "Seeking Scientific Consensus - An Expert Survey on the Replication Debate between Acemoglu et al. (2001) and Albouy (2012)," I4R Discussion Paper Series 270, The Institute for Replication (I4R).
    8. 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.
    9. Casas, Andreu & Dagher, Georgia & O'Loughlin, Ben, 2025. "Academic Access to Social Media Data for the Study of Political Online Safety," SocArXiv 7pcjd, Center for Open Science.
    10. Ankel-Peters, Jörg & Bensch, Gunther & Vance, Colin, 2026. "Comment on "Development Effects of Electrification: Evidence from the Topographic Placement of Hydropower Plants in Brazil"," I4R Discussion Paper Series 294, The Institute for Replication (I4R).

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