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Who’s to Blame? The Determinants of German Students’ Achievement in the PISA 2000 Study

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  • Michael Fertig

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    Abstract

    The publication of the OECD report on the PISA 2000 study induced a public outcry in Germany. On average, German students participating in this standardized test performed considerably below the OECD average and substantially worse than those of other European countries, like Finland or Ireland. However, the results presented by the report consist mainly of country averages which do not take into account any other covariates of individual student achievement. This paper provides a comprehensive econometric analysis of the association of the individual-level reading test scores of German students with individual and family background information and with characteristics of the school and class of the 15 to 16 year old respondents in Germany to the survey. The results of several quantile regression analyses demonstrate that many popular explanations, like too much regulation of schools or the substantial share of non-citizens among the participating students, are by no means supported by the data. Rather results point towards a considerable impact of schools aiming at a more homogenous body of students in terms of their educational achievement.

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    File URL: http://repec.rwi-essen.de/files/DP_03_004.pdf
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    Bibliographic Info

    Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung in its series RWI Discussion Papers with number 0004.

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    Length: 19 pages
    Date of creation: May 2003
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    Handle: RePEc:rwi:dpaper:0004

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    Related research

    Keywords: Student Achievement; School Quality; Quantile Regression.;

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    1. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-77, September.
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    4. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    5. Miller, Paul & Mulvey, Charles & Martin, Nick, 1997. "Family Characteristics and the Returns to Schooling: Evidence on Gender Differences from a Sample of Australian Twins," Economica, London School of Economics and Political Science, vol. 64(253), pages 119-36, February.
    6. DiNardo, John E & Pischke, Jorn-Steffen, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 291-303, February.
    7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    8. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    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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    11. Thomas Warm, 1989. "Weighted likelihood estimation of ability in item response theory," Psychometrika, Springer, vol. 54(3), pages 427-450, September.
    12. repec:fth:prinin:357 is not listed on IDEAS
    13. Wolter, Stefan C. & Coradi Vellacott, Maja, 2002. "Sibling Rivalry: A Look at Switzerland with PISA Data," IZA Discussion Papers 594, Institute for the Study of Labor (IZA).
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