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Exploring socioeconomic similarity-inequality: a regional perspective

Author

Listed:
  • Mary Luz Mouronte-López

    (Universidad Francisco de Vitoria)

  • Juana Savall Ceres

    (Universidad Francisco de Vitoria)

Abstract

Socioeconomic variables have been studied in many different contexts. Considering several socioeconomic variables as well as using the standard series clustering technique and the Ward’s algorithm, we rank the countries in the world and evaluate the similarity and inequality between geographic areas. Various relationships between variables are also identified. Additionally, since the Gini coefficient is one of the most frequently used metrics to measure economic inequality, with a global scope, we model this coefficient utilising machine learning techniques. 16 exploratory variables are utilised, which pertain to the health (9), economic (2), social labour protection (4) and gender (1) fields. International repositories that include time series of variables referred to these domains as well as education and labour market fields are used.

Suggested Citation

  • Mary Luz Mouronte-López & Juana Savall Ceres, 2024. "Exploring socioeconomic similarity-inequality: a regional perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02730-1
    DOI: 10.1057/s41599-024-02730-1
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    References listed on IDEAS

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    1. Laurence Ball & Nicolás Roux & Marc Hofstetter, 2013. "Unemployment in Latin America and the Caribbean," Open Economies Review, Springer, vol. 24(3), pages 397-424, July.
    2. Niskanen, Anssi & Lin, Chijien, 2001. "Regional similarities of forest resources and socio-economic structures in the EU member states," Forest Policy and Economics, Elsevier, vol. 3(1-2), pages 55-67, September.
    3. Zhuang, Juzhong & Kanbur, Ravi & Rhee, Changyong, 2014. "Rising Inequality in Asia and Policy Implications," ADBI Working Papers 463, Asian Development Bank Institute.
    4. Jack A. Goldstone & Robert H. Bates & David L. Epstein & Ted Robert Gurr & Michael B. Lustik & Monty G. Marshall & Jay Ulfelder & Mark Woodward, 2010. "A Global Model for Forecasting Political Instability," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 190-208, January.
    5. Niko Speybroeck & Carine Van Malderen & Sam Harper & Birgit Müller & Brecht Devleesschauwer, 2013. "Simulation Models for Socioeconomic Inequalities in Health: A Systematic Review," IJERPH, MDPI, vol. 10(11), pages 1-31, November.
    6. Kristin Blesch & Oliver P. Hauser & Jon M. Jachimowicz, 2022. "Measuring inequality beyond the Gini coefficient may clarify conflicting findings," Nature Human Behaviour, Nature, vol. 6(11), pages 1525-1536, November.
    7. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 325-342, September.
    8. Abdul Abdullah & Hristos Doucouliagos & Elizabeth Manning, 2015. "Does Education Reduce Income Inequality? A Meta-Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 29(2), pages 301-316, April.
    9. Thitithep Sitthiyot & Kanyarat Holasut, 2020. "A simple method for measuring inequality," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-9, December.
    10. Glenn Milligan, 1981. "A monte carlo study of thirty internal criterion measures for cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 46(2), pages 187-199, June.
    11. Guisan, M.Carmen & Exposito, Pilar, 2001. "Economic Development of African and Asia-Pacific Areas in 1951-99," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 1(2), pages 101-125.
    12. Federico Cingano, 2014. "Trends in Income Inequality and its Impact on Economic Growth," OECD Social, Employment and Migration Working Papers 163, OECD Publishing.
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