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Income inequality and health: Evidence from developed and developing countries

Author

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  • Herzer, Dierk
  • Nunnenkamp, Peter
Abstract
We assess the effect of income inequality on life expectancy by performing separate estimations for developed and developing countries. Our empirical analysis challenges the widely held view that inequality matters more for health in richer countries than for health in poorer countries. Employing panel cointegration and conventional panel regressions, we find that income inequality increases life expectancy in developed countries. By contrast, the effect on life expectancy is significantly negative in developing countries. While the quantitative effects are small, the striking contrast between the two country groups proves to be robust to modifications in measurement, specification and methodological choices.

Suggested Citation

  • Herzer, Dierk & Nunnenkamp, Peter, 2014. "Income inequality and health: Evidence from developed and developing countries," Economics Discussion Papers 2014-45, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201445
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    3. Herzer, Dierk & Nunnenkamp, Peter, 2015. "Income inequality and health: Evidence from developed and developing countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-56.
    4. Dierk Herzer, 2017. "The Long-run Relationship Between Trade and Population Health: Evidence from Five Decades," The World Economy, Wiley Blackwell, vol. 40(2), pages 462-487, February.
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    8. Tonmoy Chatterjee & Nilendu Chatterjee, 2022. "Does Innovation Make Nations More Healthy? Evidence from Developing and Developed Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3296-3325, December.
    9. Kangmennaang, Joseph & Smale, Bryan & Elliott, Susan J., 2019. "‘When you think your neighbour's cooking pot is better than yours’: A mixed-methods exploration of inequality and wellbeing in Ghana," Social Science & Medicine, Elsevier, vol. 242(C).
    10. Rebeira, Mayvis & Grootendorst, Paul & Coyte, Peter C. & Aguirregabiria, Victor, 2017. "Does rising income inequality affect mortality rates in advanced economies?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-23.
    11. Boachie, Micheal Kofi, 2015. "Effect of health on economic growth in Ghana:An application of ARDL bounds test to cointegration," MPRA Paper 67201, University Library of Munich, Germany.
    12. Nisar Ahmad & Moodhi Raid & Jumah Alzyadat & Hisham Alhawal, 2023. "Impact of urbanization and income inequality on life expectancy of male and female in South Asian countries: a moderating role of health expenditures," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    13. Das Minakshee, 2020. "Does Foreign Direct Investment (FDI) Promote Socioeconomic Development? Evidence from Advanced, Emerging-market, Developing and Transition Economies," Man and the Economy, De Gruyter, vol. 7(1), pages 1-25, June.
    14. Zhizhong Liu & Guangyue Liu & Xu Han & Yingna Chen, 2022. "Green Technology of Foreign Direct Investment on Public Health: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    15. Gheorghița Dincă & Camelia Negri & Mariana Cassiana Ioniță, 2020. "The Impact Of Income Inequality On Mortality In The European Union," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(48), pages 5-17, December.
    16. Jionghua Wang & Bo Huang & Ting Zhang & Hung Wong & Yifan Huang, 2018. "Impact of Housing and Community Conditions on Multidimensional Health among Middle- and Low-Income Groups in Hong Kong," IJERPH, MDPI, vol. 15(6), pages 1-14, May.
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    More about this item

    Keywords

    Health; Inequality; Panel cointegration;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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