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Re-testing PISA Students One Year Later: On School Value Added Estimation Using OECD-PISA

Author

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  • Bratti, Massimiliano

    (Università degli Studi di Milano)

  • Checchi, Daniele

    (University of Milan)

Abstract

Thanks to the effort of two local educational authorities, in two regions of North Italy (Valle d'Aosta and the autonomous province of Trento) the PISA 2009 test was re-administered to the same students one year later. This paper is the first to analyse in the OECD-PISA context the potential advantages of re-testing the same students in order to provide better measures of schools' contributions to student achievement. We show that while cross-sectional measures of school value added based on PISA student literacy, which measures "knowledge for life", tend to be very volatile over time whenever there is a high year-to-year attrition in the student population, longitudinal measures of school value added are very robust to student attrition (even without controlling for sample selection). Moreover, persistence in individual test scores tends to be higher in highly "selective" (i.e. high drop-out) school environments.

Suggested Citation

  • Bratti, Massimiliano & Checchi, Daniele, 2013. "Re-testing PISA Students One Year Later: On School Value Added Estimation Using OECD-PISA," IZA Discussion Papers 7722, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7722
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    References listed on IDEAS

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    1. Angrist, Joshua D., 1997. "Conditional independence in sample selection models," Economics Letters, Elsevier, vol. 54(2), pages 103-112, February.
    2. Massimiliano Bratti & Abigail McKnight & Robin Naylor & Jeremy Smith, 2004. "Higher education outcomes, graduate employment and university performance indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 475-496, August.
    3. Jesse Rothstein, 2009. "Student Sorting and Bias in Value-Added Estimation: Selection on Observables and Unobservables," Education Finance and Policy, MIT Press, vol. 4(4), pages 537-571, October.
    4. Bratti, Massimiliano & Checchi, Daniele & Filippin, Antonio, 2007. "Territorial Differences in Italian Students’ Mathematical Competencies: Evidence from PISA 2003," IZA Discussion Papers 2603, Institute of Labor Economics (IZA).
    5. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    6. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. Roland Bénabou, 1996. "Equity and Efficiency in Human Capital Investment: The Local Connection," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(2), pages 237-264.
    9. Harvey Goldstein & David J. Spiegelhalter, 1996. "League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(3), pages 385-409, May.
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    Cited by:

    1. Richard B. Freeman & Martina Viarengo, 2014. "School and family effects on educational outcomes across countries [Teaching practices and social capital]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(79), pages 395-446.
    2. Enrico Conti & Silvia Duranti & Carla Rampichini & Nicola Sciclone, 2015. "Quanto conta l?effetto scuola nel ciclo primario? L?efficacia delle istituzioni scolastiche in Toscana," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(3), pages 59-84.

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    More about this item

    Keywords

    school value added; OECD-PISA; Italy; student attrition;
    All these keywords.

    JEL classification:

    • 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

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