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The Effect of One Extra Year of Schooling on Pisa Results: a Case of Countries with Different Tracking Systems

Author

Listed:
  • Yulia Tyumeneva

    (National Research University Higher School of Economics The International Laboratory for Educational Policy Research)

  • Yulia Kuzmina

    (National Research University Higher School of Economics. The International Laboratory for Educational Policy Research;)

Abstract

The purpose of our study is to compare the impact of an extra year of schooling on PISA achievement across several national education systems and explore why that impact may differ across systems. We first attempt to measure and compare the impact of an extra year of schooling on PISA achievement in selected countries. Second, we conduct analyses of possible interaction effects: whether the impact of an extra year of schooling differs for female vs. male students and for students of higher and lower social class. Third, we explore whether splitting students into general vs. vocational tracks changes the effects of an extra year of schooling on achievement. The paper addresses the issue of PISA result interpretation for policy-making: whether countries with low scores also have low school effectiveness and vice versa. Also looking at the specific effects of tracking allows us to consider the academic-vocational problem in a new way

Suggested Citation

  • Yulia Tyumeneva & Yulia Kuzmina, 2012. "The Effect of One Extra Year of Schooling on Pisa Results: a Case of Countries with Different Tracking Systems," HSE Working papers WP BRP 08/EDU/2012, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:08edu2012
    as

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    File URL: http://www.hse.ru/data/2012/12/24/1303402083/08EDU2012.pdf
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    References listed on IDEAS

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    1. Jörn-Steffen Pischke & Alan Manning, 2006. "Comprehensive versus Selective Schooling in England in Wales: What Do We Know?," NBER Working Papers 12176, National Bureau of Economic Research, Inc.
    2. Frenette, Marc, 2008. "The Returns to Schooling on Academic Performance: Evidence from Large Samples Around School Entry Cut-off Dates," Analytical Studies Branch Research Paper Series 2008317e, Statistics Canada, Analytical Studies Branch.
    3. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    4. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    5. Fertig, Michael & Kluve, Jochen, 2005. "The Effect of Age at School Entry on Educational Attainment in Germany," IZA Discussion Papers 1507, Institute of Labor Economics (IZA).
    6. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    7. Maresa Sprietsma, 2010. "Effect of relative age in the first grade of primary school on long-term scholastic results: international comparative evidence using PISA 2003," Education Economics, Taylor & Francis Journals, vol. 18(1), pages 1-32.
    8. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    9. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    10. Michael Fertig & Jochen Kluve, 2005. "The Effect of Age at School Entry on Educational Attainment in Germany," RWI Discussion Papers 0027, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
    11. Elizabeth U. Cascio & Ethan G. Lewis, 2006. "Schooling and the Armed Forces Qualifying Test: Evidence from School-Entry Laws," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
    12. Susan E. Mayer & David Knutson, 1997. "Does Age at Enrollment in first Grade Affect Children's cognitive Test Scores," Working Papers 9706, Harris School of Public Policy Studies, University of Chicago.
    13. Maria Emma Santos, 2009. "Human Capital and the Quality of Education in a Poverty Trap Model," OPHI Working Papers 30, Queen Elizabeth House, University of Oxford.
    14. repec:zbw:rwidps:0027 is not listed on IDEAS
    15. David Hendry & Grayham E. Mizon, 2010. "Econometric Modelling of Changing Time Series," Economics Series Working Papers 475, University of Oxford, Department of Economics.
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    Cited by:

    1. Emmanuel José Vázquez, 2022. "La escolarización y las ganancias de aprendizaje según el nivel de integración socioeconómica de los estudiantes," Asociación Argentina de Economía Política: Working Papers 4606, Asociación Argentina de Economía Política.

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    More about this item

    Keywords

    effect of schooling; Programme for International Student Assessment (PISA); quasi-experimental design; selection in education;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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