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Military engagement and income inequality in LAC region. Empirical evidence from 1990 to 2022

Author

Listed:
  • Adelaide Baronchelli

    (Department of Economics and Statistics “Cognetti de Martiis”, University of Turin)

  • Antonella Biscione

    (CESPIC, Catholic University “Our Lady of Good Counsel”)

  • Raul Caruso

    (Department of Economic Policy - Università Cattolica del Sacro Cuore, Milano CESPIC, Catholic University “Our Lady of Good Counsel”)

Abstract

This paper explores the effect of military engagement and income inequality in a panel of countries in Latin America and Caribbean (LAC) region in the period 1990-2022. This study focuses on both short and a long-term effect of military engagement defined as a country's overall involvement in military activities, including defense spending, military personnel maintenance, and militarization efforts. Results show that: (i) military expenditure as share of GPD appears to have a positive effect on reducing income inequality and (ii) the Global Militarization index play a role in exacerbating income inequality.

Suggested Citation

  • Adelaide Baronchelli & Antonella Biscione & Raul Caruso, 2024. "Military engagement and income inequality in LAC region. Empirical evidence from 1990 to 2022," Working Papers 1022, European Centre of Peace Science, Integration and Cooperation (CESPIC), Catholic University 'Our Lady of Good Counsel'.
  • Handle: RePEc:pea:wpaper:1022
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    More about this item

    Keywords

    income inequality; Gini index; military engagement; military spending; political regime; LAC region;
    All these keywords.

    JEL classification:

    • D6 - Microeconomics - - Welfare Economics
    • D3 - Microeconomics - - Distribution
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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