Advanced Search
MyIDEAS: Login

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

Contents:

Author Info

  • Fertig, Michael

    ()
    (ISG, Cologne)

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://ftp.iza.org/dp739.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 739.

as in new window
Length: 18 pages
Date of creation: Mar 2003
Date of revision:
Handle: RePEc:iza:izadps:dp739

Contact details of provider:
Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org

Order Information:
Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Email:

Related research

Keywords: student achievement; school quality; quantile regression;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. John E. DiNardo & Jorn-Steffen Pischke, 1996. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," NBER Working Papers 5606, National Bureau of Economic Research, Inc.
  2. repec:fth:prinin:357 is not listed on IDEAS
  3. David Card & Alan Krueger, 1990. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Working Papers 645, Princeton University, Department of Economics, Industrial Relations Section..
  4. 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.
  5. Haisken-DeNew, John P. & Schmidt, Christoph M., 1999. "Money for Nothing and Your Chips for Free? The Anatomy of the PC Wage Differential," IZA Discussion Papers 86, Institute for the Study of Labor (IZA).
  6. David Card & Alan Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," Working Papers 736, Princeton University, Department of Economics, Industrial Relations Section..
  7. Entorf, Horst & Gollac, Michel & Kramarz, Francis, 1999. "New Technologies, Wages, and Worker Selection," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 464-91, July.
  8. Thomas Warm, 1989. "Weighted likelihood estimation of ability in item response theory," Psychometrika, Springer, vol. 54(3), pages 427-450, September.
  9. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  10. 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.
  11. 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).
  12. 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.
  13. 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.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Zoltan Hermann & Daniel Horn, 2011. "How inequality of opportunity and mean student performance are related? - A quantile regression approach using PISA data," IEHAS Discussion Papers 1124, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  2. Ramos, Raul & Duque, Juan Carlos & Nieto, Sandra, 2012. "Decomposing the Rural-Urban Differential in Student Achievement in Colombia Using PISA Microdata," IZA Discussion Papers 6515, Institute for the Study of Labor (IZA).
  3. Abdul-Hamid, Husein & Abu-Lebdeh, Khattab M. & Patrinos, Harry Anthony, 2011. "Assessment testing can be used to inform policy decisions : the case of Jordan," Policy Research Working Paper Series 5890, The World Bank.
  4. Entorf, Horst & Minoiu, Nicoleta, 2004. "What a Difference Immigration Law Makes: PISA results, migration background, socioeconomic status and social mobility in Europe and traditional countries of immigration," Darmstadt Discussion Papers in Economics 37288, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
  5. Ludger Woessmann, 2004. "European "Education Production Functions": What Makes A Difference For Student Achievement In Europe?," Royal Economic Society Annual Conference 2004 93, Royal Economic Society.
  6. Christoph M. Schmidt & Michael Fertig & Mathias G. Sinning, 2009. "The Impact of Demographic Change on Human Capital Accumulation," Ruhr Economic Papers 0107, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  7. Josep-Oriol Escardíbul & Toni Mora, 2013. "Teacher gender and student performance in mathematics. Evidence from Catalonia," Working Papers 2013/7, Institut d'Economia de Barcelona (IEB).
  8. Entorf, Horst & Lauk, Martina, 2007. "Peer effects, social multipliers and migrants at school: An international comparison," Center for European, Governance and Economic Development Research Discussion Papers 57, University of Goettingen, Department of Economics.
  9. Entorf, Horst & Lauk, Martina, 2006. "Peer effects, social multipliers and migration at school: An international comparison," HWWI Research Papers 3-3, Hamburg Institute of International Economics (HWWI).
  10. Gokce Uysal & M. Alper Dincer, 2009. "Determinants of Student Achievement in Turkey," Working Papers 002, Bahcesehir University, Betam.
  11. Natalia Zinovyeva & Florentino Felgueroso & Pablo Vazquez Vega, 2008. "Immigration and Students' Achievement in Spain," Working Papers 2008-37, FEDEA.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp739. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.