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Noncognitive Skills, School Achievements and Educational Dropout

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  • Katja Coneus
  • Johannes Gernandt
  • Marianne Saam

Abstract

We analyse the determinants of dropout from secondary and vocational education in Germany using data from the Socio-Economic Panel from 2000 to 2007. In addition to the role of classical variables like family background and school achievements, we examine the effect of noncognitive skills. Both, better school grades and higher noncognitive skills reduce the risk to become an educational dropout. The influence of school achievements on the dropout probability tends to decrease and the influence of noncognitive skills tends to increase with age.

Suggested Citation

  • Katja Coneus & Johannes Gernandt & Marianne Saam, 2009. "Noncognitive Skills, School Achievements and Educational Dropout," SOEPpapers on Multidisciplinary Panel Data Research 176, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp176
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    References listed on IDEAS

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    1. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Do the Cognitive Skills of School Dropouts Matter in the Labor Market?," Journal of Human Resources, University of Wisconsin Press, vol. 35(4), pages 748-754.
    2. Wolfgang Franz & Joachim Inkmann & Winfried Pohlmeier & Volker Zimmermann, 2000. "Young and Out in Germany (On Youths? Chances of Labor Market Entrance in Germany)," NBER Chapters, in: Youth Employment and Joblessness in Advanced Countries, pages 381-426, National Bureau of Economic Research, Inc.
    3. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    4. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    5. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    6. Pedro Carneiro & Claire Crawford & Alissa Goodman, 2007. "The Impact of Early Cognitive and Non-Cognitive Skills on Later Outcomes," CEE Discussion Papers 0092, Centre for the Economics of Education, LSE.
    7. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    8. John H. Tyler & Richard J. Murnane & John B. Willett, 1998. "Estimating the Impact of the GED on the Earnings of Young Dropouts Using a Series of Natural Experiments," NBER Working Papers 6391, National Bureau of Economic Research, Inc.
    9. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    10. Paul Ryan, 2001. "The School-to-Work Transition: A Cross-National Perspective," Journal of Economic Literature, American Economic Association, vol. 39(1), pages 34-92, March.
    11. Arne Uhlendorff, 2003. "Der Einfluss von Persönlichkeitseigenschaften und sozialen Ressourcen auf die Arbeitslosigkeitsdauer," Discussion Papers of DIW Berlin 338, DIW Berlin, German Institute for Economic Research.
    12. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
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    Cited by:

    1. Fletcher, Jason M. & Wolfe, Barbara, 2016. "The importance of family income in the formation and evolution of non-cognitive skills in childhood," Economics of Education Review, Elsevier, vol. 54(C), pages 143-154.
    2. Hoffmann, Sarah, 2010. "Schulabbrecher in Deutschland - eine bildungsstatistische Analyse mit aggregierten und Individualdaten," Discussion Papers 71, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    3. Pfeiffer, Friedhelm & Seiberlich, Ruben R., 2009. "A socio-economic analysis of youth disconnectedness," ZEW Discussion Papers 09-070, ZEW - Leibniz Centre for European Economic Research.
    4. Mendolia, Silvia & Walker, Ian, 2014. "The effect of personality traits on subject choice and performance in high school: Evidence from an English cohort," Economics of Education Review, Elsevier, vol. 43(C), pages 47-65.
    5. Carter, Jennifer L. & Richards, Marcus & Hotopf, Matthew & Hatch, Stephani L., 2019. "The roles of non-cognitive and cognitive skills in the life course development of adult health inequalities," Social Science & Medicine, Elsevier, vol. 232(C), pages 190-198.

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    More about this item

    Keywords

    Noncognitive skills; school grades; secondary education; vocational training;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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