[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/54.html
   My bibliography  Save this paper

Computational Reproduction and Robustness Replication for Hollyer, Klašnja and Titiunik (2022): A Replication Report from the Nottingham Replication Games

Author

Listed:
  • Kelly, Edmund
  • Odermatt, Angela
  • Metson, Lennard
Abstract
Hollyer, Klašnja, and Titiunik (2022) analyse the trade-off that political parties face between running programmatic campaigns and fielding charismatic candidates, whose electoral appeal may come at the cost of undermining the party brand. They argue that higher electoral volatility prompts parties to rely on charismatic candidates, even though they might not be as loyal to the party's programmatic stance. They substantiate their argument with a cross-national dataset and a quantitative case study in Brazil. We computationally reproduced and conducted further robustness tests for their cross-national study by translating the Stata code to R. Next, we conducted a computational reproduction and some additional robustness tests for the quantitative case study. We find that their cross-national analysis is reproducible, albeit with some minor discrepancies. The quantitative case study is also largely reproducible and both are robust in several ways. We conclude by making some suggestions about data dissemination and robustness checks for authors of regression discontinuity designs.

Suggested Citation

  • Kelly, Edmund & Odermatt, Angela & Metson, Lennard, 2023. "Computational Reproduction and Robustness Replication for Hollyer, Klašnja and Titiunik (2022): A Replication Report from the Nottingham Replication Games," I4R Discussion Paper Series 54, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:54
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/274553/1/I4R-DP054.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:i4rdps:54. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.i4replication.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.