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

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Author Info

  • 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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File URL: http://www.tandfonline.com/10.1080/09645290500031165
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Education Economics.

Volume (Year): 13 (2005)
Issue (Month): 2 ()
Pages: 143-169

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Handle: RePEc:taf:edecon:v:13:y:2005:i:2:p:143-169

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Related research

Keywords: Central examinations; student achievement; international education production function; effect heterogeneity; TIMSS; PISA;

References

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  1. 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.
  2. Thomas Fuchs & Ludger Wößmann, 2007. "What accounts for international differences in student performance? A re-examination using PISA data," Empirical Economics, Springer, vol. 32(2), pages 433-464, May.
  3. Hendrik Jürges & Kerstin Schneider & Felix Büchel, 2003. "The Effect of Central Exit Examinations on Student Achievement: Quasi-experimental Evidence from TIMSS Germany," CESifo Working Paper Series 939, CESifo Group Munich.
  4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  5. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
  6. Jeffrey M. Wooldridge, 1999. "Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples," Econometrica, Econometric Society, vol. 67(6), pages 1385-1406, November.
  7. Bishop, John H. & Woessmann, Ludger, 2002. "Institutional Effects in a Simple Model of Educational Production," IZA Discussion Papers 484, Institute for the Study of Labor (IZA).
  8. 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 Group Munich.
  9. Wooldridge, Jeffrey M., 2001. "Asymptotic Properties Of Weighted M-Estimators For Standard Stratified Samples," Econometric Theory, Cambridge University Press, vol. 17(02), pages 451-470, April.
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Citations

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Cited by:
  1. Ryan, Chris, 2013. "What is behind the decline in student achievement in Australia?," Economics of Education Review, Elsevier, vol. 37(C), pages 226-239.
  2. 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 , 2011. "Inequalities' Impacts: State of the Art Review," GINI Discussion Papers re1, AIAS, Amsterdam Institute for Advanced Labour Studies.
  3. Christian Dustmann & Tommaso Frattini & Gianandrea Lanzara, 2011. "Educational Achievement of Second Generation Immigrants: An International Comparison," CReAM Discussion Paper Series 1116, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
  4. Wößmann, Ludger, 2006. "Bildungspolitische Lehren aus den internationalen Schülertests: Wettbewerb, Autonomie und externe Leistungsüberprüfung," Munich Reprints in Economics 19653, University of Munich, Department of Economics.
  5. Maria De Paola, 2011. "Easy grading practices and supply–demand factors: evidence from Italy," Empirical Economics, Springer, vol. 41(2), pages 227-246, October.

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