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The Autocratic Ruling Parties Dataset: Origins, Durability, and Death

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  • Michael K. Miller

Abstract

How do autocratic ruling parties gain power? What predicts their durability and how they fall? This article introduces the Autocratic Ruling Parties Dataset, the first comprehensive data set on the founding origins, modes of gaining and losing power, ruling tenures, and other characteristics of autocratic ruling parties. It covers all ruling parties in the world from 1940 to 2015. Contrary to common assumptions, most ruling parties are not created by sitting dictators, but follow a range of paths to power that influence their style and duration of rule. To illustrate the data’s uses, the article confirms that ruling parties stabilize autocracies. Further, parties’ origins and histories matter, with revolutionary and foreign-imposed parties the most durable and parties empowered through elections the least durable. By recognizing ruling parties’ heterogeneity, histories, and potential autonomy from individual dictators, the data can contribute to open questions on autocratic politics, regime stability, and democratization.

Suggested Citation

  • Michael K. Miller, 2020. "The Autocratic Ruling Parties Dataset: Origins, Durability, and Death," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(4), pages 756-782, April.
    • Handle: RePEc:sae:jocore:v:64:y:2020:i:4:p:756-782
    DOI: 10.1177/0022002719876000
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    References listed on IDEAS

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    1. World Bank, 2016. "World Development Indicators 2016," World Bank Publications - Books, The World Bank Group, number 23969, April.
    2. Wright, Joseph & Escribà-Folch, Abel, 2012. "Authoritarian Institutions and Regime Survival: Transitions to Democracy and Subsequent Autocracy," British Journal of Political Science, Cambridge University Press, vol. 42(2), pages 283-309, April.
    3. Gehlbach, Scott & Keefer, Philip, 2011. "Investment without democracy: Ruling-party institutionalization and credible commitment in autocracies," Journal of Comparative Economics, Elsevier, vol. 39(2), pages 123-139, June.
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    Cited by:

    1. Fabio Angiolillo, 2024. "Introducing the One-Party Membership Dataset: A dataset on party membership in autocracies," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(4), pages 694-708, July.

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