IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp18214.html

In BRAC We Trust? Comparing Schools for Disadvantaged Students in Dhaka’s Slums

Author

Listed:
  • Ham, John C.

    (New York University, Abu Dhabi)

  • Khan, Saima

    (North South University, Bangladesh)

Abstract

BRAC has over 40,000 schools worldwide. It is widely praised for serving disadvantaged students and for matching or outperforming government schools. Using data that we collected from Dhaka’s slums, we test these claims. We find that BRAC serves the most disadvantaged students in our survey, but contrary to popular belief, BRAC students perform significantly worse than comparable students at other school types when we control for family demographics in a matching procedure. Anticipating our need to control for selection, we collected data on family demographics and the child’s fluid intelligence; since the latter affects both types of school and student performance, it unambiguously should be included in the propensity score. Once we control for fluid intelligence, the performance difference with other NGO schools disappears. The gaps between government and JAAGO schools have narrowed, but they still remain large and statistically significant.

Suggested Citation

  • Ham, John C. & Khan, Saima, 2025. "In BRAC We Trust? Comparing Schools for Disadvantaged Students in Dhaka’s Slums," IZA Discussion Papers 18214, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp18214
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp18214.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp18214. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.