IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v53y2021i9p1039-1051.html
   My bibliography  Save this article

Simulating the effects of automatic promotion on early dropouts for both poor and rich students: an application to Brazilian data

Author

Listed:
  • Max Resende
  • Francis Petterini

Abstract

The debate regarding the relative effects of automatic grade promotion versus grade retention has long concerned education policymakers and researchers. This work applies a random-effects probit model to assess the probability of early dropout in Brazilian public schools based on a unique administrative database which permits to infer household income at the student level for more than 60 thousand pupils enrolled in 273 schools. The results suggest evidence that decisions to drop out early are significantly influenced by whether approval has taken place and age-grade distortion. Moreover, simulation exercises have suggested that automatic grade promotion policy could reduce up to 35% the probability of a low-income student dropout from secondary school, while 24% for their rich peers.

Suggested Citation

  • Max Resende & Francis Petterini, 2021. "Simulating the effects of automatic promotion on early dropouts for both poor and rich students: an application to Brazilian data," Applied Economics, Taylor & Francis Journals, vol. 53(9), pages 1039-1051, February.
  • Handle: RePEc:taf:applec:v:53:y:2021:i:9:p:1039-1051
    DOI: 10.1080/00036846.2020.1822510
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2020.1822510
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2020.1822510?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:applec:v:53:y:2021:i:9:p:1039-1051. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.