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Health and growth: causality through education

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  • Rui Huang
  • Lilyan E. Fulginiti
  • E. Wesley F. Peterson

Abstract

Purpose - The paper aims to theoretically and empirically investigate the impact on human capital investment decisions and income growth of lowered life expectancy as a result of HIV/AIDS and other diseases. Design/methodology/approach - The theoretical model is a three‐period overlapping generations model where individuals go through three stages in their lives, namely, young, adult, and old. The model extends existing theoretical models by allowing the probability of premature death to differ for individuals at different life stages, and by allowing for stochastic technological advances. The empirical investigation focuses on the effect of HIV/AIDS on life expectancy and on the role of health in educational investments and growth. Potential endogeneity is addressed by using various strategies, such as controlling for country‐specific time‐invariant unobservables and by using the male‐circumcision rate as an instrumental variable for HIV/AIDS prevalence. Findings - The paper shows theoretically that an increased probability of premature death leads to less investment in human capital, and consequently slower growth. Empirically, the paper finds that HIV/AIDS has resulted in a substantial decline in life expectancy in African countries and these falling life expectancies are indeed associated with lower educational attainment and slower economic growth world wide. Originality/value - The theoretical and empirical findings reveal a causal link flowing from health to growth, which has been largely overlooked by the existing literature. The main implication is that health investments that decrease the incidence of diseases like HIV/AIDS resulting in increases in life expectancy through their complementarity with human capital investments lead to long run growth.

Suggested Citation

  • Rui Huang & Lilyan E. Fulginiti & E. Wesley F. Peterson, 2010. "Health and growth: causality through education," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 2(3), pages 321-344, September.
  • Handle: RePEc:eme:caerpp:v:2:y:2010:i:3:p:321-344
    DOI: 10.1108/17561371011078444
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    References listed on IDEAS

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    Cited by:

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    2. Haruna Modibbo Usman & Mustapha Muktar & Nasiru Inuwa, 2015. "Health Outcomes and Economic Growth Nexus: Testing for Long Run Relationship and Causal Links in Nigeria," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(4), pages 176-183, April.
    3. Moraes, Ricardo Kalil & Wanke, Peter Fernandes & Faria, João Ricardo, 2021. "Unveiling the endogeneity between social-welfare and labor efficiency: Two-stage NDEA neural network approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    4. Christian Jeremy Siahaan & Mohammad Kemal Taufiqurahman & Barata Andrianto & Muhammad Nur Iman, 2020. "Unequal Economic Growth Between Regions in Indonesia: Hard Infrastructure or Soft Infrastructure?," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 6(2), pages 97-110.
    5. Essosinam Franck Karabou & Komlan Ametowoyo Adeve & Kossi Atsutsè Dziédzom Tsomdzo, 2021. "Dépenses publiques de santé, état de santé et croissance en Afrique Subsaharienne: Cas de l'Afrique de l'Est et de l'Ouest," African Development Review, African Development Bank, vol. 33(2), pages 397-407, June.
    6. E. Wesley F. Peterson, 2017. "Is Economic Inequality Really a Problem? A Review of the Arguments," Social Sciences, MDPI, vol. 6(4), pages 1-25, December.

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