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Mass Reproducibility and Replicability: A New Hope

Author

Listed:
  • Brodeur, Abel

    (University of Ottawa)

  • Mikola, Derek

    (Carleton University)

  • Cook, Nikolai

    (Wilfrid Laurier University)

Abstract
This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes.

Suggested Citation

  • Brodeur, Abel & Mikola, Derek & Cook, Nikolai, 2024. "Mass Reproducibility and Replicability: A New Hope," IZA Discussion Papers 16912, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp16912
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    File URL: https://docs.iza.org/dp16912.pdf
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. 350+ coauthors study reproducibility in economics
      by ? in Marginal Revolution on 2024-04-08 06:49:37
    2. Excellente initiative grenobloise sur la réplication de données publiées en économie : à généraliser aux autres sciences ?
      by ? in Revues et intégrité on 2024-07-26 04:00:41

    Citations

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    Cited by:

    1. Evaluator 1, 2024. "Evaluation 1 of The Long-Run Effects of Psychotherapy on Depression, Beliefs, and Economic Outcomes," The Unjournal Evaluations 2024-41, The Unjournal.
    2. Oswald, Christian & Walterskirchen, Julian, 2024. "Computational and Robustness Reproducibility of "UN Peacekeeping and Democratization in Conflict-Affected Countries"," I4R Discussion Paper Series 138, The Institute for Replication (I4R).
    3. Chuang, Shih-Hsien & Holian, Matthew & Pattison, Nathaniel & Ramakrishnan, Prasanthi, 2024. "A Comment on "Populist Leaders and the Economy"," I4R Discussion Paper Series 157, The Institute for Replication (I4R).
    4. Clerc, Melchior & Gosselin-Pali, Adrien & Wendling, Eliot, 2024. "A Replication of Macchi (2023): "Worth Your Weight: Experimental Evidence on the Benefits of Obesity in Low-Income Countries"," I4R Discussion Paper Series 145, The Institute for Replication (I4R).

    More about this item

    Keywords

    reproduction; replication; research transparency; open science; economics; political science;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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