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The effect heterogeneity of central examinations: evidence from TIMSS, TIMSS-Repeat and PISA

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  • Ludger Wossmann
Abstract
This paper uses extensive student-level micro databases of three international student achievement tests to estimate heterogeneity in the effect of external exit examinations on student performance along three dimensions. First, quantile regressions show that the effect tends to increase with student ability—but it does not differ substantially for most measured family-background characteristics. Second, central examinations have complementary effects to school autonomy. Third, the effect of central exit examinations increases during the course of secondary education, and regular standardised examination exerts additional positive effects. Thus, there is substantial heterogeneity in the central-examination effect along student, school and time dimensions.

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  • Ludger Wossmann, 2005. "The effect heterogeneity of central examinations: evidence from TIMSS, TIMSS-Repeat and PISA," Education Economics, Taylor & Francis Journals, vol. 13(2), pages 143-169.
  • Handle: RePEc:taf:edecon:v:13:y:2005:i:2:p:143-169
    DOI: 10.1080/09645290500031165
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    1. Hendrik Jürges & Kerstin Schneider & Felix Büchel, 2005. "The Effect Of Central Exit Examinations On Student Achievement: Quasi-Experimental Evidence From TIMSS Germany," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 1134-1155, September.
    2. Bishop, John H, 1997. "The Effect of National Standards and Curriculum-Based Exams on Achievement," American Economic Review, American Economic Association, vol. 87(2), pages 260-264, May.
    3. Thomas Fuchs & Ludger Woessmann, 2004. "What Accounts for International Differences in Student Performance? A Re-Examination Using PISA Data (new title: What accounts for international differences in student performance? A re-examination us," CESifo Working Paper Series 1235, CESifo.
    4. Jesse Levin, 2001. "For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement," Empirical Economics, Springer, vol. 26(1), pages 221-246.
    5. Thomas Fuchs & Ludger Wößmann, 2008. "What accounts for international differences in student prformance? A re-examination using PISA data," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 209-240, Springer.
    6. John Bishop & Ludger Wossmann, 2004. "Institutional Effects in a Simple Model of Educational Production," Education Economics, Taylor & Francis Journals, vol. 12(1), pages 17-38.
    7. Wooldridge, Jeffrey M., 2001. "Asymptotic Properties Of Weighted M-Estimators For Standard Stratified Samples," Econometric Theory, Cambridge University Press, vol. 17(2), pages 451-470, April.
    8. Jeffrey M. Wooldridge, 1999. "Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples," Econometrica, Econometric Society, vol. 67(6), pages 1385-1406, November.
    9. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
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    12. Bishop, J., 1997. "The Effect of national Standards and Curriculum-Based Exams on Achievement," Papers 97-01, Cornell - Center for Advanced Human Resource Studies.
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    Cited by:

    1. Hanushek, Eric A. & Link, Susanne & Woessmann, Ludger, 2013. "Does school autonomy make sense everywhere? Panel estimates from PISA," Journal of Development Economics, Elsevier, vol. 104(C), pages 212-232.
    2. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    3. Ludger Wößmann, 2006. "Bildungspolitische Lehren aus den internationalen Schülertests: Wettbewerb, Autonomie und externe Leistungsüberprüfung," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(3), pages 417-444, August.
    4. Christian Dustmann & Tommaso Frattini & Gianandrea Lanzara, 2012. "Educational achievement of second-generation immigrants: an international comparison [The economic situation of first and second-generation immigrants in France, Germany and the United Kingdom]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 27(69), pages 143-185.
    5. Wilfried Altzinger & Jesús Crespo Cuaresma & Alyssa Schneebaum & Bernhard Rumplmaier & Petra Sauer, 2015. "Education and Social Mobility in Europe: Levelling the Playing Field for Europe's Children and Fuelling its Economy. WWWforEurope Working Paper No. 80," WIFO Studies, WIFO, number 57887.
    6. Maria De Paola, 2011. "Easy grading practices and supply–demand factors: evidence from Italy," Empirical Economics, Springer, vol. 41(2), pages 227-246, October.
    7. Schwerdt, Guido & Woessmann, Ludger, 2017. "The information value of central school exams," Economics of Education Review, Elsevier, vol. 56(C), pages 65-79.
    8. Ferraro, Simona & Põder, Kaire, 2018. "School-level policies and the efficiency and equity trade-off in education," Journal of Policy Modeling, Elsevier, vol. 40(5), pages 1022-1037.
    9. Leschnig, Lisa & Schwerdt, Guido & Zigova, Katarina, 2022. "Central exams and adult skills: Evidence from PIAAC," Economics of Education Review, Elsevier, vol. 90(C).
    10. Ryan, Chris, 2013. "What is behind the decline in student achievement in Australia?," Economics of Education Review, Elsevier, vol. 37(C), pages 226-239.
    11. Wagner, Valentin & Riener, Gerhard, 2015. "Peers or parents? On non-monetary incentives in schools," DICE Discussion Papers 203, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    12. Yi, Pilnam & Kim, Hye Jeong, 2019. "Exploring the relationship between external and internal accountability in education: A cross-country analysis with multi-level structural equation modeling," International Journal of Educational Development, Elsevier, vol. 65(C), pages 1-9.
    13. Wagner, Valentin, 2016. "Seeking risk or answering smart? Framing in elementary schools," DICE Discussion Papers 227, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    14. Wagner, Valentin, 2016. "Seeking Risk or Answering Smart? Experimental Evidence on Framing Effects in Elementary Schools," VfS Annual Conference 2016 (Augsburg): Demographic Change 145678, Verein für Socialpolitik / German Economic Association.
    15. Morozumi, Atsuyoshi & Tanaka, Ryuichi, 2020. "Should School-Level Results of National Assessments Be Made Public?," IZA Discussion Papers 13450, Institute of Labor Economics (IZA).
    16. Miroslava Federičová & Daniel Münich, 2017. "The impact of high-stakes school admission exams on study achievements: quasi-experimental evidence from Slovakia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1069-1092, October.
    17. Brian Burgoon & Bea Cantillon & Giacomo Corneo & Marloes Graaf-zijl & Tony Fahey & Horn, D. & Bram Lancee & Virginia Maestri & Ive Marx & Abigail Mcknight & Márton Medgyesi & Elena Meschi & Michelle N, 2011. "Inequalities' Impacts: State of the Art Review," GINI Discussion Papers re1, AIAS, Amsterdam Institute for Advanced Labour Studies.

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