IDEAS home Printed from https://ideas.repec.org/p/mnd/wpaper/1828.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: http://repec.mandela.ac.za/RePEc/mnd/wpaper/paper.1828.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Mortality rates; Female literacy; ARDL; PMG.;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mnd:wpaper:1828. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Andrew Phiri (email available below). General contact details of provider: https://edirc.repec.org/data/denmmza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.