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Who Governs? A New Global Dataset on Members of Cabinets

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  • NYRUP, JACOB
  • BRAMWELL, STUART

Abstract

Who governs? This is one of the most fundamental questions in political science. Despite its importance, there is currently no global dataset on governing elites over a long period. This article presents a novel dataset, WhoGov, which contains yearly data on members of cabinets in 177 countries during the period 1966–2016, making it the largest of its kind. We first present how the dataset was created and validate it by matching this data against existing data. We then demonstrate how the data can be used to gain new insights into diverse fields such as the study of autocracies, gender studies, the study of regime types, and government formation. We expect that this dataset will be an invaluable resource for both comparativists and country experts.

Suggested Citation

  • Nyrup, Jacob & Bramwell, Stuart, 2020. "Who Governs? A New Global Dataset on Members of Cabinets," American Political Science Review, Cambridge University Press, vol. 114(4), pages 1366-1374, November.
    • Handle: RePEc:cup:apsrev:v:114:y:2020:i:4:p:1366-1374_29
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    Cited by:

    1. Bedasso, Biniam, 2024. "Ministerial musical chairs: Does leadership turnover undermine the effectiveness of World Bank education aid?," World Development Perspectives, Elsevier, vol. 33(C).
    2. Heinzel, Mirko & Weaver, Catherine & Jorgensen, Samantha, 2024. "Bureaucratic representation and gender mainstreaming in international organizations: evidence from the World Bank," LSE Research Online Documents on Economics 122464, London School of Economics and Political Science, LSE Library.
    3. Silano, Filippo, 2023. "Career paths of Ministry of Finance advisers," ILE Working Paper Series 73, University of Hamburg, Institute of Law and Economics.
    4. Thomas Edward Flores & Gabriella Lloyd & Irfan Nooruddin, 2023. "When TED talks, does anyone listen? A new dataset on political leadership," The Review of International Organizations, Springer, vol. 18(1), pages 169-199, January.
    5. Diep Hoang Phan, 2023. "Lights and GDP relationship: What does the computer tell us?," Empirical Economics, Springer, vol. 65(3), pages 1215-1252, September.
    6. Kodila-Tedika, Oasis & Khalifa, Sherif & Konso Mulali, Ben, 2020. "Who Becomes Minister in an Autocratic Regime? Evidence From DRC," MPRA Paper 103022, University Library of Munich, Germany.
    7. Asatryan, Zareh & Baskaran, Thushyanthan & Birkholz, Carlo & Hufschmidt, Patrick, 2023. "Favoritism by the governing elite," ZEW Discussion Papers 23-053, ZEW - Leibniz Centre for European Economic Research.
      • Asatryan, Zareh & Baskaran, Thushyanthan & Birkholz, Carlo & Hufschmidt, Patrick, 2023. "Favoritism by the governing elite," Ruhr Economic Papers 1029, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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