IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/1628.html
   My bibliography  Save this paper

Nutritional Benefits of Fostering: Evidence from Longitudinal Data in South Africa

Author

Listed:
  • Dumas, Christelle
  • Gautrain, Elsa
  • Gosselin-Pali, Adrien

Abstract

In sub-Saharan Africa, child fostering-a widespread practice in which a child moves out of the household of her biological parents-can have significant implications for a child's overall well-being. Using longitudinal data from South Africa that includes individual tracking, we employ double machine learning techniques to evaluate the impact of fostering on nutrition, addressing biases related to selection into treatment and endogenous attrition, two common challenges in the literature. Our findings reveal that fostering reduces the probability of being stunted by 6.8 percentage points, corresponding to a 37 percent reduction compared to the mean prevalence. This improvement appears to be driven by foster children relocating to smaller, rural households, often including retired individuals, typically grandparents, who receive a pension. Furthermore, we find that it not only enhances the nutritional status of foster children but also benefits the nutrition of other children from sending households, suggesting that fostering can be mutually beneficial for both groups.

Suggested Citation

  • Dumas, Christelle & Gautrain, Elsa & Gosselin-Pali, Adrien, 2025. "Nutritional Benefits of Fostering: Evidence from Longitudinal Data in South Africa," GLO Discussion Paper Series 1628, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1628
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/320556/1/GLO-DP-1628.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Child Fostering; Nutrition; Machine Learning; South Africa;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:zbw:glodps:1628. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.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.