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Identifying National Types: A Cluster Analysis of Politics, Economics, and Conflict

Author

Listed:
  • Murray Wolfson

    (Department of Economics, California State University, Fullerton)

  • Zagros Madjd-Sadjadi

    (Department of Economics, University of the West Indies, Mona)

  • Patrick James

    (Department of Political Science, University of Missouri, Columbia)

Abstract

This article is founded on the assumption that cluster analysis can be used to complement regressionbased techniques to obtain further improvement in systematic understanding of the nexus of politics, economics, and conflict. It assumes such variables form part of a yet to be understood, non-linear, timedependent interactive system. Cluster analysis is used to classify entities into groups and aims toward explanations based on characteristics cutting across the objects in which they are embedded; thus, the analysis seeks a more compelling account of the complex linkages between and among economic, political, and conflict-related variables. Cross-sectional data for 1967, 1974, 1981, 1988, and 1995 from the Dataset on National Attributes is used in the cluster analysis. The data analysis identifies clusters of states based on a range of characteristics. As expected within a time-dependent system, there is evidence of consistent clustering of countries within and across years, along with evidence of change. Several clusters, such as the advanced states, are very stable and indicate patterns that should be explored further with regression analysis.

Suggested Citation

  • Murray Wolfson & Zagros Madjd-Sadjadi & Patrick James, 2004. "Identifying National Types: A Cluster Analysis of Politics, Economics, and Conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 41(5), pages 607-623, September.
    • Handle: RePEc:sae:joupea:v:41:y:2004:i:5:p:607-623
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    Cited by:

    1. Boyas, Javier F. & Wind, Leslie H. & Ruiz, Erika, 2015. "Exploring patterns of employee psychosocial outcomes among child welfare workers," Children and Youth Services Review, Elsevier, vol. 52(C), pages 174-183.
    2. Sutter, Camille, 2011. "State legitimacy and famines in Sub-Saharan Africa," MPRA Paper 37621, University Library of Munich, Germany.
    3. Antonio Rodríguez Andrés & Voxi Heinrich S. Amavilah & Abraham Otero, 2021. "Evaluation of technology clubs by clustering: a cautionary note," Applied Economics, Taylor & Francis Journals, vol. 53(52), pages 5989-6001, November.
    4. Běla Plechanovová, 2011. "The EU Council enlarged: North-South-East or core-periphery?," European Union Politics, , vol. 12(1), pages 87-106, March.
    5. Raluca Georgiana POPESCU, 2011. "The Regional Climate of Foreign Direct Investments in Romania," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 8, pages 321-330, December.
    6. Běla Plechanovová, 2011. "Coalitions in the EU Council: Pitfalls of Multidimensional Analysis," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 5(3), pages 249-266, November.
    7. Liu, Chang & Sun, Xiaolei & Chen, Jianming & Li, Jianping, 2016. "Statistical properties of country risk ratings under oil price volatility: Evidence from selected oil-exporting countries," Energy Policy, Elsevier, vol. 92(C), pages 234-245.
    8. Raluca Georgiana POPESCU & Denisia VINTILA & Raluca ERDINC, 2012. "The evolution of the regional disparities of foreign direct investments in Romania influenced by the integration in the European Union and the economic crisis," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 730-736, May.
    9. Sofía Orazi & Lisana Belén Martinez & Hernán P. Vigier, 2019. "La inclusión financiera en América Latina y Europa," Ensayos de Economía 18301, Universidad Nacional de Colombia Sede Medellín.
    10. Kok, Christoffer & Puigvert Gutiérrez, Josep Maria, 2006. "Euro area banking sector integration: using hierarchical cluster analysis techniques," Working Paper Series 627, European Central Bank.

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