IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v91y2024ics0038012123002756.html
   My bibliography  Save this article

Comparative performance of Algeria's education districts: The Influence of colonial legacy through cultural capital

Author

Listed:
  • Touati-Tliba, Mohamed

Abstract

This article aims to analyze the comparative performance of Algeria's education districts using a two-stage DEA methodology. Modeling their functioning as non-homogeneous parallel sub-unit production systems, districts are considered Decision-Making Units with three educational subunits. This type of modeling provides an overall regional efficiency analysis of the entire education sector. Furthermore, the current research links early colonial policy of educational discrimination across regions to present-day regional educational performance. The main DEA-like model evaluates the average overall efficiency at 74.5% and identifies no efficient district while the standard DEA overestimates this average by 20.8% and identifies five efficient districts with no efficient subunits. Moreover, IV truncated regression estimates the impact of one standard deviation increase in cultural capital to be a 0.81 standard deviation increase in the efficiency score with a 95% bootstrap percentile confidence interval covering estimations of all alternative methods. The findings confirm that history matters and seem to fit the narrative of the link between colonial legacy and present-day educational performance through the cultural capital transmission channel.

Suggested Citation

  • Touati-Tliba, Mohamed, 2024. "Comparative performance of Algeria's education districts: The Influence of colonial legacy through cultural capital," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123002756
    DOI: 10.1016/j.seps.2023.101763
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123002756
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2023.101763?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

    Keywords

    Education districts; Data Envelopment Analysis (DEA); Non-homogeneous parallel sub-unit production systems; Colonial legacy; Cultural capital; Instrumental Variables (IV); Bootstrap truncated regression; Algeria;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:eee:soceps:v:91:y:2024:i:c:s0038012123002756. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    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.