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Measuring Revolution

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  • Jeff Colgan

Abstract

Domestic political upheaval has profound consequences, both for the country in which it takes place and for international politics. It is therefore striking that there is no standard cross-national time-series dataset that focuses specifically on the concept of revolution. This article aims to address that gap by introducing a new dataset on revolutionary governments and leaders, 1945–2004. Revolutionary leaders tend to be younger, to have longer tenure in office, and to be more prone to international conflicts than non-revolutionary leaders. This new dataset facilitates quantitative analyses of a variety of questions about both the causes and consequences of revolutionary governments.

Suggested Citation

  • Jeff Colgan, 2012. "Measuring Revolution," Conflict Management and Peace Science, Peace Science Society (International), vol. 29(4), pages 444-467, September.
  • Handle: RePEc:sae:compsc:v:29:y:2012:i:4:p:444-467
    DOI: 10.1177/0738894212449093
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    References listed on IDEAS

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    Cited by:

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    2. Mare Sarr & Timothy Swanson & Chiara Ravetti & Siri Wingaard, 2012. "Aiding and Abetting the Looting of Nations: The impact of Aid on growth in Autocracies," CIES Research Paper series 15-2012, Centre for International Environmental Studies, The Graduate Institute.
    3. Cullen S. Hendrix, 2014. "Oil Prices and Interstate Conflict Behavior," Working Paper Series WP14-3, Peterson Institute for International Economics.
    4. Pierre-Guillaume Méon & Khalid Sekkat, 2016. "A time to throw stones, a time to reap: How long does it take for democratic transitions to improve institutional outcomes?," Working Papers CEB 16-016, ULB -- Universite Libre de Bruxelles.
    5. Ravetti, Chiara & Sarr, Mare & Swanson, Tim, 2018. "Foreign aid and political instability in resource-rich countries," Resources Policy, Elsevier, vol. 58(C), pages 277-294.
    6. Fischer-Kowalski, Marina & Rovenskaya, Elena & Krausmann, Fridolin & Pallua, Irene & Mc Neill, John R., 2019. "Energy transitions and social revolutions," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 69-77.

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