Abstract
School leavers with low educational attainment face great difficulties in their school-to-work transitions. They are, however, quite heterogeneous in terms of their personal and social resources. These within-group differences may influence who shows initiative during the school-to-work transition period and thereby helps employers recognize their learning potential at labor market entry. Yet this recognition also depends on the ways employers select applicants, which may prevent them from discovering such within-group differences. We therefore investigate the interplay between agency and its constraints, that is, whether higher cognitive and noncognitive skills and more parental resources provide low-achieving school leavers with new opportunities in the school-to-work transition period or whether their low school attainment causes the persistency of their disadvantages. We use panel data from the German National Educational Panel Study (NEPS), which started in grade 9. The NEPS also includes school leavers from special-needs schools. Our sample consists of 3417 low-achieving adolescents (42% female), defined as adolescents who leave school with no or only a lower secondary school-leaving certificate. Their average school-leaving age is 16 to 17 years. Our key findings are that the transition period opens up new opportunities only for those low-achieving adolescents with better vocational orientation and higher career aspirations, leading them to make stronger application efforts. The success of youth’s initiative varies considerably by school-leaving certificate and school type but not by competences, noncognitive characteristics, and parental background. Thus, the label of “having low qualifications” is a major obstacle in this transition period—especially for the least educated subgroup. Their poor school attainment strongly disadvantages them when accessing the required training to become economically independent and hence in their general transition to adulthood. Our results are also of interest internationally, because participation in firm-based training programs functions as the entry labor market in Germany. Thus, similar explanations may apply to low-achieving adolescents’ difficulties in finding a job.
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Notes
This share ranged from 20% in Thuringia to 32% in Bremen—indicating that low-achieving school leavers are a minority in all German states.
It is important to note that the German state-financed school-based training sector has a rather fixed number of places (like the firm-sponsored apprenticeship market) and does not adjust the provision of places to the number of applicants.
The SUF SC 7.0.0 accidentally does not include some respondents’ school biography (see release notes for version 7.0.0). We retrieved these episodes from the previous version SUF SC4 6.0.0.
In 2010/11 (i.e., the time of the first wave), about 80% of the students classified as disabled attended a special-needs school (of these, about 50% were schools for learning disabilities) (Klemm 2015, p. 57). Students attending integrative school settings are also in our sample (mostly attending lower secondary schools) but difficult to detect. They often do not know about their classification if they do not attend special-needs schools (and teachers were not allowed to report this to NEPS). Thus, comparisons between adolescents with learning disabilities from special-needs schools and regular schools are not possible.
Low-achieving school leavers are not entitled to pursue a university entrance qualification directly. We therefore included these unclear episodes in the “others” category.
Official statistics do not differentiate between lower and extended lower secondary certificate.
The NEPS data provide information on the question: “How likely is it that somebody will support you to get an apprenticeship?” However, about 80% of the respondents answered this question positively—without information on potential differences in the quality of this support, which is however essential for the very idea of networks.
These figures are very similar to official statistics (National Education Report 2014, p. 277).
The AME is −.01 (not significant), when only including the control variables and the combined competence score.
References
Aguilera, M. B. (2002). The impact of social capital on labor force participation. Social Science Quarterly, 83(3), 853–874.
Alexander, K. L., Entwisle, D. R., & Kabbani, N. S. (2001). The dropout process in life course perspective. Teachers College Record, 103, 760–822.
Allmendinger, J. (1989). Educational systems and labor market outcomes. European Sociological Review, 5(3), 231–250.
Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011). Personality psychology and economics. In E. Hanushek, S. Machin & L. Woessman (Eds.), Handbook of the economics of education (Vol 4, pp. 1–181). Amsterdam: Elsevier.
Bayer, P., Ross, S. L., & Topa, G. (2008). Place of work and place of residence: Informal hiring networks and labor market outcomes. Journal of Political Economy, 116(6), 1150–1196.
Becker, G. S. (1964). Human capital. New York: National Bureau of Economic Research.
Beicht, U., & Granato, M. (2010). Ausbildungsplatzsuche: Geringe Chancen für junge Frauen und Männer mit Migrationshintergrund. BIBB Report 15/2010. Bonn: Bundesinstitut für Berufsbildung.
Blossfeld, H. P., Roßbach, H. G. & von Maurice, J. (Eds.) (2011). Education as a lifelong process. Wiesbaden: Springer VS.
Bol, T., & van de Werfhorst, H. G. (2011). Signals and closure by degrees. Research in Social Stratification and Mobility, 29, 119–132.
Bol, T., & van de Werfhorst, H. G. (2013). Educational systems and the trade-off between labor market allocation and equality of educational opportunity. Comparative Education Review, 57(2), 285–308.
Breen, R. (2005). Explaining cross-national variation in youth unemployment. European Sociological Review, 21(2), 125–134.
Brzinsky-Fay, C., & Solga, H. (2016). Compressed, postponed, or disadvantaged? School-to-work-transition patterns and early occupational attainment in West Germany. Research in Social Stratification and Mobility, 46, 21–36. December, part A.
Buchmann, M., & Kriesi, I. (2011). Transition to adulthood in Europe. Annual Review of Sociology, 37, 481–503.
Bynner, J., & Parsons, S. (2002). Social exclusion and the transition from school to work. Journal of Vocational Behaviour, 60, 289–309.
Canny, A. (2004). What employers want and what employers do. Journal of Education and Work, 17(4), 495–513.
Carneiro, P., Crawford, C., & Goodman, A. (2007). The impact of early cognitive and non-cognitive skills on later outcomes. CEE Discussion Papers 92. London: LSE, Centre for the Economics of Education.
Caspi, A., Wright, B. R. E., Moffitt, T. E., & Silva, P. A. (1998). Early failure in the labor market: Childhood and adolescents predictions of unemployment in the transition to adulthood. American Sociological Review, 63, 424–451.
von Collani, G., & Herzberg, P. Y. (2003). Eine revidierte Fassung der deutschsprachigen Skala zum Selbstwertgefühl von Rosenberg. Zeitschrift für Differentielle und Diagnostische Psychologie, 24(1), 3–7.
Diewald, M., & Mayer, K. U. (2009). The sociology of the life course and life span psychology. Advances in Life Course Research, 14(1-2), 5–14.
DiPrete, T. A., & McManus, P. A. (1996). Education, earnings gain, and earnings loss in loosely and tightly structured labor markets. In A. C. Kerckhoff (Ed.), Generating social stratification (pp. 201–221). New York: Westview.
Dumont, H., Protsch, P., Jansen, M., & Becker, M. (2017). Fish swimming into the ocean: How tracking relates to students’ self-beliefs and school disengagement at the end of schooling. Journal of Educational Psychology, Advance online publication (7-13-2017). http://dx.doi.org/10.1037/edu0000175.
Eberhard, V. (2006). Das Konzept der Ausbildungsreife. Bonn: Bundesinstitut für Berufsbildung.
Elffers, L. (2011). The transition to post-secondary vocational education. Enschede: Ipskamp drukkers.
Elffers, L. (2013). Staying on track: Behavioral engagement ofat-risk and non-at-risk students in post-secondary vocational education. European Journal of Psychology of Education, 28(2), 545–562.
European Commission (2013). Launch of European Alliance for Apprenticeships. Brussels, 2 July 2013. Available at: http://europa.eu/rapid/press-release_IP-13-634_en.htm. Accessed 19 Mar 2017. Brussels/Leipzig.
Fiske, S. T. (1998). Stereotyping, prejudice, and discrimination. In D. T. Gilbert, S. T. Fiske & G. Lindzey (Eds.), Handbook of social psychology (pp. 357–411). New York: McGraw-Hill.
Fitzenberger, B., & Licklederer, S. (2015). Career planning, school grades, and transitions. Journal of Economics and Statistics, 235(4-5), 433–458.
Fletcher, J. M. (2013). The effects of personality traits on adult labor market outcomes. Journal of Economic Behavior and Organization, 89, 122–135.
Franzen, A., & Hangartner, D. (2006). Social networks and labour market outcomes. European Sociological Review, 22(4), 353–368.
Ganzeboom, H. B. G., De Graaf, P. M., & Treiman, D. J. (1992). A standard international socio-economic index of occupational status. Social Science Research, 21(1), 1–56.
Gasquet, C. (2004). Young people with ‘no qualification’. Céreq no., 58, 1–4.
Gericke, N., Krupp, T., & Troltsch, K. (2009). Unbesetzte Ausbildungsplätze: Warum Betriebe erfolglos bleiben. BIBB Report 10/09. Bonn: Bundesinstitut für Berufsbildung.
Gesthuizen, M., Solga, H., & Künster, R. (2011). Context matters: Economic marginalisation of low-educated workers in cross-national perspective. European Sociological Review, 27(2), 264–280.
Goffman, E. (1963). Stigma. New York: Simon & Schuster.
Granovetter, M. (1974). Getting a job. Cambridge, MA: Harvard University Press.
Gutman, L., & Schoon, I. (2013). The impact of non-cognitive skills on outcomes for young people. London: Education Endowment Foundation. http://educationendowmentfoundation.org.uk/uploads/pdf/Non-cognitive_skills_literature_review.pdf. Accessed 26 May 2017.
Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24, 411–482.
Heisig, J. P., & Solga, H. (2015). Secondary education systems and the general skills of less- and intermediate-educated adults. Sociology of Education, 88(3), 202–225.
Hogan, D. P., & Astone, N. M. (1986). The Transition to Adulthood. Annual Review of Sociology, 12, 109–130.
Jaik, K., & Wolter, S.C. (2016). Lost in transition: The influence of locus of control on delaying educational decisions. IZA Discussion Paper No. 10191. Bonn: IZA.
John, O. P., & Srivastava, S. (1999). The big five taxonomy. In L. A. Pervin & O. P. John (Eds.), Handbook of personality (pp. 102–138). New York: Guilford Press.
Jones, E. E., Farina, A., Hastorf, A. H., Markus, H., Miller, D. T., & Scott, R. (1984). Social stigma. New York: Freeman.
Kerckhoff, A. C. (1993). Diverging pathways: Social structure and career deflections. New York: Cambridge University Press.
Kleinert, C., & Jacob, M. (2012). Strukturwandel des Übergangs in eine Ausbildung. In R. Becker & H. Solga (Eds.), Soziologische Bildungsforschung (pp. 211–233). Wiesbaden: Springer VS.
Klemm, K. (2015). Inklusion in Deutschland. Gütersloh: Bertelsmann Stiftung.
Kohlrausch, B., & Solga, H. (2012). Übergänge in die Ausbildung: Welche Rolle spielt die ‘Ausbildungsreife’? Zeitschrift für Erziehungswissenschaft, 15(4), 753–773.
Kreuter, F., & Valliant, R. (2007). A survey on survey statistics: What is done and can be done in Stata. The Stata Journal, 7(1), 1–21.
Leuze, K., Ludwig-Mayerhofer, W., & Solga, H. (2011). The German National Educational Panel Study. Longitudinal and Life Course Studies, 2(3), 346–355.
Lin, N. (1999). Social networks and status attainment. Annual Review of Sociology, 25(1), 467–487.
Lindqvist, E., & Vestman, R. (2011). The labor market returns to cognitive and noncognitive ability. American Economic Journal: Applied Economics, 3(1), 101–128.
Lleras, C. (2008). Do skills and behaviors in high school matter? Social Science Research, 37(3), 888–902.
McCrae, R., & Costa, Jr., P. T. (1991). The NEO personality inventory. Journal of Counseling and Development, 6, 587–597.
Miller, S. R., & Rosenbaum, J. E. (1997). Hiring in a Hobbesian world: Social infrastructure and employers’ use of information. Work and Occupations, 24, 498–523.
Mood, C. (2010). Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review, 26(1), 67–82.
Mortimer, J. T., Oesterle, S., & Krüger, H. (2005). Age norms, institutional structures, and the timing of markers of transition to adulthood. Advances in Life Course Research, 9, 175–203.
Mueller, B., & Wolter, S. C. (2014). The role of hard-to-obtain information on ability for the school-to-work transition. Empirical Economics, 46(4), 1447–1471.
Müller, W., & Shavit, Y. (1998). The institutional embeddedness of the stratification process. In Y. Shavit & W. Müller (Eds.), From school-to-work (pp. 1–48). Oxford: Clarendon Press.
Murnane, R., & Levy, F. (1996). Teaching the new basic skills. New York: Free Press.
National Education Report (Autorengruppe Bildungsberichterstattung) (2014). Bildung in Deutschland 2014. Bielefeld: Bertelsmann. .
Newton, B., Hurstfield, J., Miller, L., Page, R., & Akroyd, K. (2005). What employers look for when recruiting the unemployed and inactive: Skills, characteristics and qualifications. Research Report No 295. London: Department for Work and Pensions.
Pohl, S., & Carstensen, C. H. (2012). NEPS Technical Report – Scaling the data of the competence tests. NEPS Working Paper No. 14. Bamberg: Leibniz Institute for Educational Trajectories.
Protsch, P. (2014). Segmentierte Arbeitsmärkte. Opladen: Budrich UniPress.
Protsch, P., & Dieckhoff, M. (2011). What matters in the transition from school to vocational training in Germany. European Societies, 13(1), 69–91.
Protsch, P., & Solga, H. (2015). How employers use signals of cognitive and noncognitive skills at labor market entry. European Sociological Review, 31(5), 521–532.
Protsch, P., & Solga, H. (2016). The social stratification of the German VET system. Journal of Education and Work, 29(2), 637–661.
De Raad, B., & Schouwenburg, H. C. (1996). Personality in learning and education. European Journal of Personality, 10, 303–336.
Rammstedt, B., & John, O. P. (2007). Measuring personality in one minute or less. Journal of Research in Personality, 41, 203–212.
Richardson, J. G., & Powell, J. J. W. (2011). Comparing special education. Palo Alto: Stanford University Press.
Rosenbaum, J. E., & Binder, A. (1997). Do employers really need more educated youth? Sociology of Education, 70(1), 68–85.
Rumberger, R. W., & Lim, S. A. (2008). Why students drop out of school: A review of 25 years of research. California Dropout Research Project, Policy Brief 15. UC Santa Barbara.
Ryan, P. (2001). The school-to-work transition. Journal of Economic Literature, 39(1), 34–92.
Sacker, A., & Schoon, I. (2007). Educational resilience in later life: Resources and assets in adolescence and return to education after leaving school at age 16. Social Science Research, 36, 873–896.
Schoon, I., & Duckworth, K. (2010). Leaving school early – and making it! Evidence from two British birth cohorts. European Psychologist, 15(4), 283–292.
Schoon, I., & Lyons-Amos, M. (2016). Diverse pathways in becoming an adult. Research in Social Stratification and Mobility, 46, 11–20. December, part A.
Sehringer, R. (1989). Betriebliche Strategien der Personalrekrutierung. Frankfurt: Campus.
Seibert, H., Hupka-Brunner, S., & Imdorf, C. (2009). Wie Ausbildungssysteme Chancen verteilen. Kölner Zeitschrift für Soziologie und Sozialpsychologie, 61(4), 595–620.
Settersten, Jr., R. A., & Ray, B. (2010). What’s going on with young people today? The long and twisting path to adulthood. The Future of Children, 20(1), 19–41.
Seyfried, B. (2006). Berufsausbildungsvorbereitung aus betrieblicher Sicht. Bonn: Bundesinstitut für Berufsbildung.
Shanahan, M. J. (2000). Pathways to adulthood in changing societies: Variability and mechanisms in life course perspective. Annual Review of Sociology, 26, 667–692.
Skrobanek, J., Reissig, B., & Müller, M. (2011). Successful placement or displacement in the transition from school to vocational training. Journal of Youth Studies, 14(7), 811–836.
Solga, H. (2002). ‘Stigmatization by negative selection’: Explaining less-educated persons’ decreasing employment opportunities. European Sociological Review, 18(2), 159–178.
Solga, H. (2004). Increasing risks of stigmatization. Yale Journal of Sociology, 4(1), 99–129.
Solga, H. (2008). Lack of training – the employment opportunities of low-skilled persons from a sociological and micro-economic perspective. In K. U. Mayer & H. Solga (Eds.), Skill formation (pp. 173–204). New York: Cambridge University Press.
Solga, H., & Kohlrausch, B. (2013). How low-achieving German youth beat the odds and gain access to vocational training. European Sociological Review, 29(5), 1068–1082.
Solga, H., & Konietzka, D. (1999). Occupational matching and social stratification. European Sociological Review, 15(1), 25–47.
Sørensen, A. B., & Kalleberg, A. L. (1981). An outline of a theory of matching persons to jobs. In I. Berg (Ed.), Sociological perspectives on labor markets (pp. 49–74). New York: Academic Press.
Spence, M. A. (1974). Market signaling. Cambridge: Harvard University Press.
Steedman, H. (2004). The low-achieving school-leavers in UK. Céreq no, 58, 5–6.
Steedman, H. (2012). Overview of apprenticeship systems and issues. Geneva: International Labour Organization.
Steinhauer, H. W., & Zinn, S. (2016). NEPS Technical Report for Weighting: Weighting the sample of Starting Cohort 4 of the National Educational Panel Study (Wave 1 to 7). NEPS Survey Paper No. 2. Bamberg: Leibniz Institute for Educational Trajectories.
Sweeting, H., & West, P. (1994). The patterning of life events in mid- to late adolescence: Markers for the future? Journal of Adolescence, 17(3), 283–304.
Thurow, L. C. (1975). Generating inequality. New York: Basic Books.
Uhlig, J., Solga, H., Schupp, J. (2009). Bildungsungleichheiten und blockierte Lernpotenziale. Zeitschrift für Soziologie, 37(5), 418–441.
Walther, A. (2015). The struggle for ‘realistic’ career perspectives: Cooling-out versus recognition of aspirations in school-to-work-transitions. Italian Journal of Sociology of Education, 7(2), 18–42.
van de Werfhorst, H., & Mijs, J. (2010). Achievement inequality and the institutional structure of educational systems. Annual Review of Sociology, 36(1), 407–428.
Wial, H. (1991). Getting a good job. Industrial Relations, 30(3), 396–416.
Wiggins, J. S., & Pincus, A. L. (1989). Conceptions of personality disorders and dimensions of personality. Psychological Assessment, 1(4), 305–316.
Acknowledgements
This article uses data from the National Educational Panel Study (NEPS). From 2008 to 2013, NEPS data was collected as part of the Framework Program for the Promotion of Empirical Educational Research funded by the German Federal Ministry of Education and Research (BMBF). As of 2014, NEPS is carried out by the Leibniz Institute for Educational Trajectories (LIfBi) at the University of Bamberg in cooperation with a nationwide network. We would like to thank Jennifer Schauer and Madeleine Siegel for their assistance, Ralf Künster for helping with editing the NEPS data, the members of the research unit “Skill Formation and Labor Markets” at the WZB as well as the four anonymous reviewers and the editor of the journal for their helpful comments and support; and Carsten Bösel for his language assistance.
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The article was supported by the DFG—German Research Foundation (grant number: SO 430/8-1).
Author Contributions
A.C.H. performed the data editing and statistical analyses, participated in the design of the study and the interpretation of the data. L.M. participated in the data editing and statistical analyses. H.S. conceived the study, drafted the manuscript, and participated in statistical guidance. All authors participated in improving the manuscript, revisions and approved the final version.
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This study uses data conducted by the NEPS consortium. The data collected followed the ethical regulations of the German states and was approved by their data protection officers.
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Holtmann, A.C., Menze, L. & Solga, H. Persistent Disadvantages or New Opportunities? The Role of Agency and Structural Constraints for Low-Achieving Adolescents’ School-to-Work Transitions. J Youth Adolescence 46, 2091–2113 (2017). https://doi.org/10.1007/s10964-017-0719-z
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DOI: https://doi.org/10.1007/s10964-017-0719-z