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Infant mortality rates and female literacy rates in SADC countries: An empirical analysis

Author

Listed:
  • Clement Moyo

    () (Department of Economics, Nelson Mandela University)

  • Thando Mkhombo

    () (Department of Economics, Nelson Mandela University)

  • Tafadzwa Chitenderu

    () (Department of Economics, Nelson Mandela University)

  • Mirada Nach

    () (Department of Economics, Nelson Mandela University)

Abstract

Over the years there has been a worldwide decline is infant mortality rates which has been driven by improvements in healthcare, female literacy rates and higher incomes. However, mortality rates in a number of developing countries are still alarmingly high due to slow progress in the enhancement of female literacy rates, slow income growth, inadequate public expenditure on health. The purpose of this study is to examine the impact of female literacy rates on infant mortality rates in selected SADC countries. The ARDL technique was employed for the empirical analysis and the results support the notion that higher female literacy rates reduce infant mortality rates. Furthermore, the results showed that incomes have the largest effect on mortality rates in SADC countries. Therefore, the implementation of policies that boost income levels such as economic growth and higher education expenditures, is vital for further reductions in mortality rates.

Suggested Citation

  • Clement Moyo & Thando Mkhombo & Tafadzwa Chitenderu & Mirada Nach, 2018. "Infant mortality rates and female literacy rates in SADC countries: An empirical analysis," Working Papers 1828, Department of Economics, Nelson Mandela University.
  • Handle: RePEc:mnd:wpaper:1828
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    File URL: http://repec.mandela.ac.za/RePEc/mnd/wpaper/paper.1828.pdf
    File Function: First version, 2018
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    More about this item

    Keywords

    Mortality rates; Female literacy; ARDL; PMG.;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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