IDEAS home Printed from https://ideas.repec.org/p/iso/educat/0053.html
   My bibliography  Save this paper

The consequences of being different - Statistical discrimination and the school-to-work transition

Author

Listed:
  • Barbara Mueller

    (EHB Schweiz)

  • Stefan C. Wolter

    (Institute of Economics, University of Berne)

Abstract

When information about the true abilities of job-seekers and applicants are hard to get, statistical discrimination by employers can be an efficient strategy in the hiring and wage setting process. But statistical discrimination can induce costs, if labor relations cannot be terminated in the short term and wages are fixed over a certain period. In this paper we use a unique longitudinal survey that follows the PISA 2000 students in their educational and work-life career. We test whether deviance in the PISA test scores from what one would have predicted based on observable characteristics, influences the probability to succeed in the transition from compulsory school into a firm-based apprenticeship and whether it can explain differences of the individual performances during training. Our results suggest that hard-to-get information plays a significant role in the transition, but not always in a symmetric manner.

Suggested Citation

  • Barbara Mueller & Stefan C. Wolter, 2011. "The consequences of being different - Statistical discrimination and the school-to-work transition," Economics of Education Working Paper Series 0053, University of Zurich, Department of Business Administration (IBW).
  • Handle: RePEc:iso:educat:0053
    as

    Download full text from publisher

    File URL: http://repec.business.uzh.ch/RePEc/iso/leadinghouse/0053_lhwpaper.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    2. Wolter, Stefan C. & Ryan, Paul, 2011. "Apprenticeship," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 11, pages 521-576, Elsevier.
    3. Gibbons, Robert & Katz, Lawrence F, 1991. "Layoffs and Lemons," Journal of Labor Economics, University of Chicago Press, vol. 9(4), pages 351-380, October.
    4. Brunello, Giorgio, 2009. "The Effect of Economic Downturns on Apprenticeships and Initial Workplace Training: A Review of the Evidence," IZA Discussion Papers 4326, Institute of Labor Economics (IZA).
    5. Daron Acemoglu & Jörn-Steffen Pischke, 1998. "Why Do Firms Train? Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 79-119.
    6. Henry S. Farber & Robert Gibbons, 1996. "Learning and Wage Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1007-1047.
    7. Samuel Muehlemann & Juerg Schweri & Rainer Winkelmann & Stefan C. Wolter, 2007. "An Empirical Analysis of the Decision to Train Apprentices," LABOUR, CEIS, vol. 21(3), pages 419-441, September.
    8. Mühlemann, Samuel & Wolter, Stefan C. & Wüest, Adrian, 2009. "Apprenticeship Training and the Business Cycle," IZA Discussion Papers 4460, Institute of Labor Economics (IZA).
    9. Bauer, Thomas K. & Haisken-DeNew, John P., 2001. "Employer learning and the returns to schooling," Labour Economics, Elsevier, vol. 8(2), pages 161-180, May.
    10. Galindo-Rueda, Fernando, 2003. "Employer learning and schooling-related statistical discrimination in Britain," LSE Research Online Documents on Economics 19491, London School of Economics and Political Science, LSE Library.
    11. Kathrin Bertschy & M. Alejandra Cattaneo & Stefan C. Wolter, 2009. "PISA and the Transition into the Labour Market," LABOUR, CEIS, vol. 23(s1), pages 111-137, March.
    12. Robert H. Topel & Michael P. Ward, 1992. "Job Mobility and the Careers of Young Men," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 439-479.
    13. Bassanini, Andrea & Booth, Alison L. & Brunello, Giorgio & De Paola, Maria & Leuven, Edwin, 2005. "Workplace Training in Europe," IZA Discussion Papers 1640, Institute of Labor Economics (IZA).
    14. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    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


    Cited by:

    1. Ricardo Martínez & Antonio Villar, 2018. "Multilevel Proficiency Comparisons With An Application To Educational Outcomes In Pisa," Working Papers 18.04, Universidad Pablo de Olavide, Department of Economics.
    2. Gebhard Kirchgässner, 2015. "Wissenschaftlicher Fortschritt in den Wirtschaftswissenschaften: Einige Bemerkungen," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 135(2), pages 209-248.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barbara Mueller & Stefan Wolter, 2014. "The role of hard-to-obtain information on ability for the school-to-work transition," Empirical Economics, Springer, vol. 46(4), pages 1447-1471, June.
    2. By Barbara Mueller & Jürg Schweri, 2015. "How specific is apprenticeship training? Evidence from inter-firm and occupational mobility after graduation," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1057-1077.
    3. Xin Jin, 2014. "The Signaling Role of Not Being Promoted: Theory and Evidence," Working Papers 0314, University of South Florida, Department of Economics.
    4. Wang, Jun & Li, Bo, 2020. "Does employer learning with statistical discrimination exist in China? Evidence from Chinese Micro Survey Data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 319-333.
    5. Núria Rodríquez-Planas, 2011. "Displacement, Signaling, and Recall Expectations," Working Papers 550, Barcelona School of Economics.
    6. NAKABAYASHI, Masaki, 2011. "Acquired Skills and Learned Abilities: Wage Dynamics of Blue-collar Workers in Internal Labor Markets," ISS Discussion Paper Series (series F) f153, Institute of Social Science, The University of Tokyo, revised Apr 2012.
    7. Jin, Xin, 2014. "The Signaling Role of Note Being Promoted: Theory and Evidence," MPRA Paper 58484, University Library of Munich, Germany.
    8. Nakabayashi, Masaki, 2011. "Schooling, employer learning, and internal labor market effect: Wage dynamics and human capital investment in the Japanese steel industry, 1930-1960s," MPRA Paper 30597, University Library of Munich, Germany.
    9. Edward P. Lazear, 1995. "Personnel Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121883, December.
    10. Theodore Koutmeridis, 2013. "The Market for "Rough Diamonds": Information, Finance and Wage Inequality," CDMA Working Paper Series 201307, Centre for Dynamic Macroeconomic Analysis, revised 14 Oct 2013.
    11. Bok Hoon & Daniel Parent, 2013. "Learning and the Form of Compensation," Journal of Labor Research, Springer, vol. 34(1), pages 79-98, March.
    12. Cassidy, Hugh & DeVaro, Jed & Kauhanen, Antti, 2016. "Promotion signaling, gender, and turnover: New theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 140-166.
    13. Jed DeVaro & Michael Waldman, 2012. "The Signaling Role of Promotions: Further Theory and Empirical Evidence," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 91-147.
    14. Michael Waldman, 2012. "Theory and Evidence in Internal LaborMarkets [The Handbook of Organizational Economics]," Introductory Chapters,, Princeton University Press.
    15. Jens MohrenweiserBy & Gabriele Wydra-Somaggio & Thomas Zwick, 2020. "Information advantages of training employers despite credible training certificates," Oxford Economic Papers, Oxford University Press, vol. 72(3), pages 651-671.
    16. Braga, Breno, 2018. "Earnings dynamics: The role of education throughout a worker’s career," Labour Economics, Elsevier, vol. 52(C), pages 83-97.
    17. Lisa B. Kahn, 2013. "Asymmetric Information between Employers," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 165-205, October.
    18. Peggy Bechara, 2012. "Gender Segregation and Gender Wage Differences during the Early Labour Market Career," Ruhr Economic Papers 0352, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    19. Li, Jin, 2013. "Job mobility, wage dispersion, and technological change: An asymmetric information perspective," European Economic Review, Elsevier, vol. 60(C), pages 105-126.
    20. Robert Gibbons & Michael Waldman, 2006. "Enriching a Theory of Wage and Promotion Dynamics inside Firms," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 59-108, January.

    More about this item

    Keywords

    Statistical discrimination; school-to-work transition; PISA;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iso:educat:0053. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sara Brunner (email available below). General contact details of provider: https://edirc.repec.org/data/isuzhch.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.