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

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Author Info

  • Bratti, Massimiliano

    ()
    (University of Milan)

  • 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.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 7722.

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Length: 33 pages
Date of creation: Nov 2013
Date of revision:
Handle: RePEc:iza:izadps:dp7722

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Keywords: Italy; OECD-PISA; school value added; student attrition;

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  1. Bratti, Massimiliano & Checchi, Daniele & Filippin, Antonio, 2007. "Territorial Differences in Italian Students’ Mathematical Competencies: Evidence from PISA 2003," IZA Discussion Papers 2603, Institute for the Study of Labor (IZA).
  2. Angrist, J.D., 1996. "Conditional Independance in Sample Selection Models," Working papers 96-27, Massachusetts Institute of Technology (MIT), Department of Economics.
  3. Benabou, Roland, 1996. "Equity and Efficiency in Human Capital Investment: The Local Connection," Review of Economic Studies, Wiley Blackwell, vol. 63(2), pages 237-64, April.
  4. Puhani, Patrick A, 2000. " The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
  5. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  6. 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.
  7. 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 F3-F33, February.
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