IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/48420.html
   My bibliography  Save this paper

The educational efficiency drivers in Uruguay: Findings from PISA 2009

Author

Listed:
  • Santín, Daniel
  • Sicilia, Gabriela

Abstract

The aim of this research is to identify the main drivers of secondary school efficiency in Uruguay. We are particularly interested in identifying which variables could be influenced by the design of public policies in order to improve academic outcomes with the current resource allocation. To do this, we build a two-stage semiparametric model using PISA 2009 database. In the first stage, we use data envelopment analysis (DEA) to estimate efficiency scores, which are then regressed on school and student contextual variables. This second stage is carried out using four alternative models: a conventional censured regression (Tobit) and three different regression models based on the use of bootstrapping recently proposed in the literature. The results show an average inefficiency of 7.5% for the evaluated Uruguayan schools, suggesting that there is room for improving academic outcomes by adopting appropriate educational policies. Following on from this, the findings of the second stage demonstrate that increasing educational resources, such as reducing class size, has no significant effects on efficiency. In contrast, educational policies should focus on reviewing grade-retention policies, teaching-learning techniques, assessment systems and, most importantly, encouraging students to spend more time reading after school in order to reduce inefficiencies.

Suggested Citation

  • Santín, Daniel & Sicilia, Gabriela, 2012. "The educational efficiency drivers in Uruguay: Findings from PISA 2009," MPRA Paper 48420, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:48420
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/48420/1/MPRA_paper_48420.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
    2. Henry M. Levin, 1974. "Measuring Efficiency in Educational Production," Public Finance Review, , vol. 2(1), pages 3-24, January.
    3. William Duncombe & John Yinger, 1997. "Why is it so hard to help central city schools?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 16(1), pages 85-113.
    4. Afonso, Antonio & St. Aubyn, Miguel, 2006. "Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs," Economic Modelling, Elsevier, vol. 23(3), pages 476-491, May.
    5. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    6. Jerik Hanushek & Dennis Kimko, 2006. "Schooling, Labor-force Quality, and the Growth of Nations," Educational Studies, Higher School of Economics, issue 1, pages 154-193.
    7. Sergio Perelman & Daniel Santin, 2011. "Measuring educational efficiency at student level with parametric stochastic distance functions: an application to Spanish PISA results," Education Economics, Taylor & Francis Journals, vol. 19(1), pages 29-49.
    8. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    9. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    10. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    11. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    12. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1997. "Budget-Constrained Frontier Measures Of Fiscal Equality And Efficiency In Schooling," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 116-124, February.
    13. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Educational production; efficiency; data envelopment analysis; bootstrap; PISA;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I2 - Health, Education, and Welfare - - Education

    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:pra:mprapa:48420. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.