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Replication of The Morning After: Report from the Nottingham Replication Games

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  • Oswald, Christian
  • Walterskirchen, Julian
  • Häffner, Sonja
  • Binetti, Marco
  • Dworschak, Christoph

Abstract

We replicate the analysis provided in Bokobza et al. (2022). They identify a causal effect of failed coup attempts on cabinet minister removals in autocracies on both the country and individual minister level and show that higher-ranking ministers and those holding strategic positions are more likely to be purged than more loyal and veteran ministers using fixed effects panel models. We focus on computational reproducibility and robustness replicability. In addition to reproducing the original results using Stata and R, we replicate analyses using random effects panel models and ordered beta regression models, reproduced analyses performed in R using different packages, replaced the main independent variable, clustered standard errors on a different level, and added independent variables related to coup-proofing. We find that the original findings were reproducible and robust.

Suggested Citation

  • Oswald, Christian & Walterskirchen, Julian & Häffner, Sonja & Binetti, Marco & Dworschak, Christoph, 2023. "Replication of The Morning After: Report from the Nottingham Replication Games," I4R Discussion Paper Series 45, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:45
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    References listed on IDEAS

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    2. Erica De Bruin, 2021. "Mapping coercive institutions: The State Security Forces dataset, 1960–2010," Journal of Peace Research, Peace Research Institute Oslo, vol. 58(2), pages 315-325, March.
    3. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, July.
    4. Carter, David B. & Signorino, Curtis S., 2010. "Back to the Future: Modeling Time Dependence in Binary Data," Political Analysis, Cambridge University Press, vol. 18(3), pages 271-292, July.
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    Cited by:

    1. 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).

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