IDEAS home Printed from https://ideas.repec.org/p/iso/educat/0009.html
   My bibliography  Save this paper

Incentives for Schools, Educational Signals and Labour Market Outcomes

Author

Listed:
  • Uschi Backes-Gellner

    (Department of Business Administration, University of Zurich)

  • Stephan Veen

    (Department of Business Administrations, University of Zurich)

Abstract

Central exams have been discussed as an incentive to improve educational outcomes. In our paper we study the impact of central exams on labor market outcomes. We explain the quality choice of schools under central and non-central exams and model the resulting students' schooling decisions and employers' wage decisions. We use the German Abitur and the variation among the German federal states with respect to central exams as a quasi experimental design. We expect the ratio of Abitur holders to increase in states without central exams and their wage premiums to decrease at the same time. In states with central exams these effects should not occur. We test our implications with official statistics on education and with the GSOEP. The first two implications are born out in the data. Finally, explanations and policy recommendations are discussed.

Suggested Citation

  • Uschi Backes-Gellner & Stephan Veen, 2006. "Incentives for Schools, Educational Signals and Labour Market Outcomes," Economics of Education Working Paper Series 0009, University of Zurich, Department of Business Administration (IBW), revised Jun 2006.
  • Handle: RePEc:iso:educat:0009
    as

    Download full text from publisher

    File URL: http://repec.business.uzh.ch/RePEc/iso/leadinghouse/0009_lhwpaper.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Botelho, Anabela & Pinto, Ligia Costa, 2004. "Students' expectations of the economic returns to college education: results of a controlled experiment," Economics of Education Review, Elsevier, vol. 23(6), pages 645-653, December.
    2. Miller, Paul W. & Mulvey, Charles & Martin, Nick, 2004. "A test of the sorting model of education in Australia," Economics of Education Review, Elsevier, vol. 23(5), pages 473-482, October.
    3. Hendrik Jürges & Kerstin Schneider, 2004. "International Differences in Student Achievement: An Economic Perspective," German Economic Review, Verein für Socialpolitik, vol. 5(3), pages 357-380, August.
    4. Hendrik Jürges & Kerstin Schneider, 2005. "Dynamische Lohneffekte beruflicher Weiterbildung," MEA discussion paper series 05092, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    5. Andrew Weiss, 1995. "Human Capital vs. Signalling Explanations of Wages," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 133-154, Fall.
    6. Bishop, John H, 1997. "The Effect of National Standards and Curriculum-Based Exams on Achievement," American Economic Review, American Economic Association, vol. 87(2), pages 260-264, May.
    7. Matthias Effinger & Mattias Polborn, 1999. "A model of vertically differentiated education," Journal of Economics, Springer, vol. 69(1), pages 53-69, February.
    8. Giorgio Brunello & Claudio Lucifora & Rudolf Winter-Ebmer, 2004. "The Wage Expectations of European Business and Economics Students," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
    9. Costrell, Robert M, 1994. "A Simple Model of Educational Standards," American Economic Review, American Economic Association, vol. 84(4), pages 956-971, September.
    10. Audrey Light & Wayne Strayer, 2004. "Who Receives the College Wage Premium?: Assessing the Labor Market Returns to Degrees and College Transfer Patterns," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
    11. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Estimating the Labor Market Signaling Value of the GED," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 431-468.
    12. Ludger Woessmann, 2004. "The Effect Heterogeneity of Central Exams: Evidence from TIMSS, TIMSS-Repeat and PISA," CESifo Working Paper Series 1330, CESifo.
    13. Webbink, Dinand & Hartog, Joop, 2004. "Can students predict starting salaries? Yes!," Economics of Education Review, Elsevier, vol. 23(2), pages 103-113, April.
    14. Wikstrom, Christina & Wikstrom, Magnus, 2005. "Grade inflation and school competition: an empirical analysis based on the Swedish upper secondary schools," Economics of Education Review, Elsevier, vol. 24(3), pages 309-322, June.
    15. Eugene A. Kroch & Kriss Sjoblom, 1994. "Schooling as Human Capital or a Signal: Some Evidence," Journal of Human Resources, University of Wisconsin Press, vol. 29(1), pages 156-180.
    16. Bishop, J., 1997. "The Effect of national Standards and Curriculum-Based Exams on Achievement," Papers 97-01, Cornell - Center for Advanced Human Resource Studies.
    17. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    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. Steve Bradley & Giuseppe Migali, 2012. "The direct and indirect effects of education policy on school and post school outcomes," Working Papers 24958831, Lancaster University Management School, Economics Department.
    2. Florian Birkenfeld, 2008. "What makes up a central exit examination?," Working Papers 065, Bavarian Graduate Program in Economics (BGPE).

    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. Georg Graetz, 2021. "On the interpretation of diploma wage effects estimated by regression discontinuity designs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 228-258, February.
    2. Katherine Caves & Simone Balestra, 2018. "The impact of high school exit exams on graduation rates and achievement," The Journal of Educational Research, Taylor & Francis Journals, vol. 111(2), pages 186-200, March.
    3. Felix Büchel & Hendrik Jürges & Kerstin Schneider, 2003. "Die Auswirkungen zentraler Abschlussprüfungen auf die Schulleistung: quasi-experimentelle Befunde aus der deutschen TIMSS-Stichprobe," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 72(2), pages 238-251.
    4. Hendrik Jürges & Kerstin Schneider, 2010. "Central exit examinations increase performance... but take the fun out of mathematics," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 497-517, March.
    5. Schwerdt, Guido & Woessmann, Ludger, 2017. "The information value of central school exams," Economics of Education Review, Elsevier, vol. 56(C), pages 65-79.
    6. Chadi, Adrian & de Pinto, Marco & Schultze, Gabriel, 2019. "Young, gifted and lazy? The role of ability and labor market prospects in student effort decisions," Economics of Education Review, Elsevier, vol. 72(C), pages 66-79.
    7. Hendrik Jürges & Wolfram F. Richter & Kerstin Schneider, 2005. "Teacher Quality and Incentives: Theoretical and Empirical Effects of Standards on Teacher Quality," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 61(3), pages 298-326, November.
    8. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    9. Nick Huntington-Klein, 2021. "Human capital versus signaling is empirically unresolvable," Empirical Economics, Springer, vol. 60(5), pages 2499-2531, May.
    10. Oliver Himmler & Robert Schwager, 2013. "Double Standards in Educational Standards – Do Schools with a Disadvantaged Student Body Grade More Leniently?," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 166-189, May.
    11. John Bishop & Ludger Wossmann, 2004. "Institutional Effects in a Simple Model of Educational Production," Education Economics, Taylor & Francis Journals, vol. 12(1), pages 17-38.
    12. Bergh, Andreas & Fink, Günther, 2009. "Higher education, elite institutions and inequality," European Economic Review, Elsevier, vol. 53(3), pages 376-384, April.
    13. Giovanni Abbiati & Carlo Barone, 2017. "Is university education worth the investment? The expectations of upper secondary school seniors and the role of family background," Rationality and Society, , vol. 29(2), pages 113-159, May.
    14. Il-Horn Hann & Jeffrey A. Roberts & Sandra A. Slaughter, 2013. "All Are Not Equal: An Examination of the Economic Returns to Different Forms of Participation in Open Source Software Communities," Information Systems Research, INFORMS, vol. 24(3), pages 520-538, September.
    15. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).
    16. Chris Bidner, 2014. "A spillover-based theory of credentialism," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1387-1425, November.
    17. Giorgio Brunello & Lorenzo Rocco, 2008. "Educational Standards in Private and Public Schools," Economic Journal, Royal Economic Society, vol. 118(533), pages 1866-1887, November.
    18. Benjamin W. Arold & M. Danish Shakeel, 2021. "The Unintended Effects of the Common Core State Standards on Non-Targeted Subjects," ifo Working Paper Series 354, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    19. Jones, Sam & Santos, Ricardo, 2022. "Can information correct optimistic wage expectations? Evidence from Mozambican job-seekers," Journal of Development Economics, Elsevier, vol. 159(C).
    20. Thomas Fuchs & Ludger Wößmann, 2008. "What accounts for international differences in student prformance? A re-examination using PISA data," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 209-240, Springer.

    More about this item

    Keywords

    Education Economics; School choice; Incentives for Schools; Central Exams; Economic impact; Labor Market Outcome;
    All these keywords.

    JEL classification:

    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:0009. 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.