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High school dropout for marginal students. Evidence from randomized exam form

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Abstract

We exploit the assignment of exam form in a high-stakes Norwegian high school exam to estimate the impact of exam form on exam results, later school performance, graduation and longer run outcomes. Results indicate that written exams significantly reduce exam grades and reduce the probability of passing relative to the alternative oral exam, particularly for initially low-performing students. Because passing the exam is mandatory to obtain a high school diploma, this translates into reduced high school graduation rates that remain significant over time, permanently shifting a group of marginal students to drop out of high school entirely. IV estimates on labor market earnings are close to zero, but these results are too imprecise to draw firm conclusions.

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  • 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.
    • Handle: RePEc:ssb:dispap:894
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    1. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2008. "Earnings Functions and Rates of Return," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 1-31.
    2. Clément de Chaisemartin & Xavier d'Haultfoeuille, 2012. "Late Again with Defiers," PSE Working Papers halshs-00699646, HAL.
    3. Thomas S. Dee & Will Dobbie & Brian A. Jacob & Jonah Rockoff, 2019. "The Causes and Consequences of Test Score Manipulation: Evidence from the New York Regents Examinations," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 382-423, July.
    4. Clément de Chaisemartin, 2017. "Tolerating defiance? Local average treatment effects without monotonicity," Quantitative Economics, Econometric Society, vol. 8(2), pages 367-396, July.
    5. 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.
    6. Manudeep Bhuller & Magne Mogstad & Kjell G. Salvanes, 2017. "Life-Cycle Earnings, Education Premiums, and Internal Rates of Return," Journal of Labor Economics, University of Chicago Press, vol. 35(4), pages 993-1030.
    7. 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.
    8. 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.
    9. Martin E Andresen & Martin Huber, 2021. "Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
    10. 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.
    11. 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.
    12. Andersland, Leroy, 2017. "The Extent of Bias in Grading," Working Papers in Economics 10/17, University of Bergen, Department of Economics.
    13. 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.
    14. Marco Manacorda, 2012. "The Cost of Grade Retention," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 596-606, May.
    15. 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.
    16. Falch, Torberg & Nyhus, Ole Henning & Strøm, Bjarne, 2014. "Causal effects of mathematics," Labour Economics, Elsevier, vol. 31(C), pages 174-187.
    17. 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.
    18. Cameron, Stephen V & Heckman, James J, 1993. "The Nonequivalence of High School Equivalents," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 1-47, January.
    19. Heckman, James J. & Humphries, John Eric & Kautz, Tim (ed.), 2014. "The Myth of Achievement Tests," University of Chicago Press Economics Books, University of Chicago Press, number 9780226100098, September.
    20. Damon Clark & Paco Martorell, 2014. "The Signaling Value of a High School Diploma," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 282-318.
    21. 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.
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    More about this item

    Keywords

    Exam form; high school dropout; returns to education;
    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

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