IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/106265.html
   My bibliography  Save this paper

The Final straw: High school dropout for marginal students

Author

Listed:
  • Andresen, Martin Eckhoff
  • Løkken, Sturla Andreas

Abstract

We investigate the consequences of failing a high-stakes exam in Norwegian high schools. Second-year high school students are randomly assigned to either a locally graded oral exam or a centrally graded written exam. Students assigned to written exams consistently receive lower grades and have a greater probability of failing, particularly in the case of already low-performing students. Because passing the exam is required to obtain a high school diploma, this translates into a reduction in high school graduation rates that remains significant over time, permanently shifting a group of marginal students into dropping out of high school altogether. We show that these marginal students are severely disadvantaged across several dimensions, even more so than dropouts in general. Our analysis of what predicts dropout among these marginal students suggests that effective policies for combating high school dropout should target students exclusively on the basis of poor academic performance, rather than other measures of disadvantage such as socioeconomic status, even though these characteristics are associated with dropout among students in general.

Suggested Citation

  • Andresen, Martin Eckhoff & Løkken, Sturla Andreas, 2020. "The Final straw: High school dropout for marginal students," MPRA Paper 106265, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:106265
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/106265/1/MPRA_paper_106265.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    2. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 4.
    3. Avraham Ebenstein & Victor Lavy & Sefi Roth, 2016. "The Long-Run Economic Consequences of High-Stakes Examinations: Evidence from Transitory Variation in Pollution," American Economic Journal: Applied Economics, American Economic Association, vol. 8(4), pages 36-65, October.
    4. Philip Oreopoulos & Robert S. Brown & Adam M. Lavecchia, 2017. "Pathways to Education: An Integrated Approach to Helping At-Risk High School Students," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 947-984.
    5. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 5.
    6. Lavy, Victor & Sand, Edith, 2018. "On the origins of gender gaps in human capital: Short- and long-term consequences of teachers' biases," Journal of Public Economics, Elsevier, vol. 167(C), pages 263-279.
    7. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    8. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    9. Marco Manacorda, 2012. "The Cost of Grade Retention," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 596-606, May.
    10. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    11. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    12. Chuang, Hwei-Lin, 1997. "High school youths' dropout and re-enrollment behavior," Economics of Education Review, Elsevier, vol. 16(2), pages 171-186, April.
    13. Jacob, Brian A., 2005. "Accountability, incentives and behavior: the impact of high-stakes testing in the Chicago Public Schools," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 761-796, June.
    14. James J. Heckman & Paul A. LaFontaine, 2010. "The American High School Graduation Rate: Trends and Levels," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 244-262, May.
    15. Carolin E. Pflueger & Su Wang, 2015. "A robust test for weak instruments in Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 216-225, March.
    16. Andersland, Leroy, 2017. "The Extent of Bias in Grading," Working Papers in Economics 10/17, University of Bergen, Department of Economics.
    17. Falch, Torberg & Nyhus, Ole Henning & Strøm, Bjarne, 2014. "Causal effects of mathematics," Labour Economics, Elsevier, vol. 31(C), pages 174-187.
    18. Simon Søbstad Bensnes, 2020. "Scheduled to Gain: Short‐ and Longer‐Run Educational Effects of Examination Scheduling," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(3), pages 879-910, July.
    19. Jonathan Jacob Doll & Zohreh Eslami & Lynne Walters, 2013. "Understanding Why Students Drop Out of High School, According to Their Own Reports," SAGE Open, , vol. 3(4), pages 21582440135, October.
    20. Melissa S. Kearney & Phillip B. Levine, 2016. "Income Inequality, Social Mobility, and the Decision to Drop Out of High School," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 333-396.
    21. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    22. Marshall, John, 2016. "Coarsening Bias: How Coarse Treatment Measurement Upwardly Biases Instrumental Variable Estimates," Political Analysis, Cambridge University Press, vol. 24(2), pages 157-171, April.
    23. David Card & Thomas Lemieux, 2001. "Dropout and Enrollment Trends in the Postwar Period: What Went Wrong in the 1970s?," NBER Chapters, in: Risky Behavior among Youths: An Economic Analysis, pages 439-482, National Bureau of Economic Research, Inc.
    24. Rebecca Diamond & Petra Persson, 2016. "The Long-term Consequences of Teacher Discretion in Grading of High-stakes Tests," NBER Working Papers 22207, National Bureau of Economic Research, Inc.
    25. Hernæs, Øystein & Markussen, Simen & Røed, Knut, 2017. "Can welfare conditionality combat high school dropout?," Labour Economics, Elsevier, vol. 48(C), pages 144-156.
    26. Tharmmapornphilas, Rubkwan, 2013. "Impact of household factors on youth's school decisions in Thailand," Economics of Education Review, Elsevier, vol. 37(C), pages 258-272.
    27. R. Todd Jewell & Michael A. McPherson & Margie A. Tieslau, 2013. "Whose fault is it? Assigning blame for grade inflation in higher education," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1185-1200, 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


    Cited by:

    1. Bizopoulou, Aspasia & Megalokonomou, Rigissa & Simion, Stefania, 2022. "Do Second Chances Pay Off? Evidence from a Natural Experiment with Low-Achieving Students," IZA Discussion Papers 15139, Institute of Labor Economics (IZA).
    2. Aspasia Bizopoulou & Rigissa Megalokonomou & Stefania Simion, 2022. "Do Second Chances Pay Off?," Bristol Economics Discussion Papers 22/762, School of Economics, University of Bristol, UK.

    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. Martin Eckhoff Andresen & Sturla A. Løkken, 2019. "High school dropout for marginal students. Evidence from randomized exam form," Discussion Papers 894, Statistics Norway, Research Department.
    2. Theo Sparreboom & Alexander Tarvid, 2016. "Imbalanced Job Polarization and Skills Mismatch in Europe," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(1), pages 15-42, July.
    3. Vahagn Jerbashian, 2019. "Automation and Job Polarization: On the Decline of Middling Occupations in Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 1095-1116, October.
    4. Van Reenen, John, 2011. "Wage inequality, technology and trade: 21st century evidence," Labour Economics, Elsevier, vol. 18(6), pages 730-741.
    5. Rendall, Michelle & Weiss, Franziska J., 2016. "Employment polarization and the role of the apprenticeship system," European Economic Review, Elsevier, vol. 82(C), pages 166-186.
    6. Matthias Firgo & Peter Mayerhofer & Michael Peneder & Philipp Piribauer & Peter Reschenhofer, 2018. "Beschäftigungseffekte der Digitalisierung in den Bundesländern sowie in Stadt und Land," WIFO Studies, WIFO, number 61633, April.
    7. Evangelia Vourvachaki & Vahagn Jerbashian & : Sergey Slobodyan, 2014. "Specific and General Human Capital in an Endogenous Growth Model," CERGE-EI Working Papers wp520, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    8. Charlotte Senftleben-Koenig & Hanna Wielandt, 2014. "Spatial Wage Inequality and Technological Change," SFB 649 Discussion Papers SFB649DP2014-038, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    9. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    10. Gries, T. & Grundmann, R. & Palnau, I. & Redlin, M., 2015. "Does technological change drive inclusive industrialization? : A review of major concepts and findings," MERIT Working Papers 2015-044, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Todd Gabe & Jaison R. Abel & Richard Florida, 2019. "Can Workers in Low-End Occupations Climb the Job Ladder?," Economic Development Quarterly, , vol. 33(2), pages 92-106, May.
    12. Chuan, A. & Zhang, W., 2021. "Non-College Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," Cambridge Working Papers in Economics 2177, Faculty of Economics, University of Cambridge.
    13. Álmos Telegdy, 2018. "Wage Inequality on the Hungarian Labour Market: Technological Change, Expansion in Higher Education and the Role of the Minimum Wage," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 17(3), pages 5-28.
    14. Charlotte Senftleben-König & Hanna Wielandt, "undated". "Spatial Wage Inequality and Technological Change," BDPEMS Working Papers 2014008, Berlin School of Economics.
    15. Storm, Eduard, 2021. "Task specialization and the native-foreign wage gap: Evidence from worker-level data," Ruhr Economic Papers 928, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Tommaso AGASISTI & Geraint JOHNES & Marco PACCAGNELLA, 2021. "Tasks, occupations and wages in OECD countries," International Labour Review, International Labour Organization, vol. 160(1), pages 85-112, March.
    17. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    18. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    19. Filippos Petroulakis, 2023. "Task Content and Job Losses in the Great Lockdown," ILR Review, Cornell University, ILR School, vol. 76(3), pages 586-613, May.
    20. Eleni Giouli & Pisinas Yorgos & Anna-Maria Kanzola, 2021. "Human Capital and Production Structure: Evidence from Greece," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 7, January -.

    More about this item

    Keywords

    Exam type; high school dropout; school performance;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:pra:mprapa:106265. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.