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

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LUDGER WÖßMANN

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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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Publisher Info
Article provided by Taylor and Francis Journals in its journal Education Economics.

Volume (Year): 13 (2005)
Issue (Month): 2 (June)
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 listed on IDEAS
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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. [Downloadable!] (restricted)
  2. Thomas Fuchs & Ludger Woessmann, 2004. "What Accounts for International Differences in Student Performance? A Re-examination using PISA Data," Econometric Society 2004 Australasian Meetings 274, Econometric Society. [Downloadable!]
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  3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January. [Downloadable!] (restricted)
  4. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August. [Downloadable!] (restricted)
  5. Jeffrey M. Wooldridge, 1999. "Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples," Econometrica, Econometric Society, vol. 67(6), pages 1385-1406, November.
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