IDEAS home Printed from https://ideas.repec.org/p/hhs/nhheco/2024_004.html

Exam Luck and Human Capital Accumulation

Author

Listed:
  • Franco, Catalina

    (Centre for Applied Research, Norwegian School of Economics and Business Administration)

  • Povea, Erika

    (Dept. of Economics, Norwegian School of Economics and Business Administration)

Abstract

We show that subtle standardized test design features can shape long-term educational trajectories. Exploiting random variation in the placement of correct answers in a Colombian college entrance exam, we find that students are 5% less likely to answer correctly when the correct option appears last (option D). This pattern is economically consequential: those assigned to “unlucky” booklets with more Ds in math score 0.011 SD lower overall and are 3% less likely to gain admission to their first-choice major. The mechanism is consistent with students overlooking options at the bottom of the list when scanning answers sequentially under time pressure.

Suggested Citation

  • Franco, Catalina & Povea, Erika, 2024. "Exam Luck and Human Capital Accumulation," Discussion Paper Series in Economics 4/2024, Norwegian School of Economics, Department of Economics, revised 11 Sep 2025.
  • Handle: RePEc:hhs:nhheco:2024_004
    as

    Download full text from publisher

    File URL: https://openaccess.nhh.no/nhh-xmlui/handle/11250/3126775
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Glenn Ellison & Ashley Swanson, 2010. "The Gender Gap in Secondary School Mathematics at High Achievement Levels: Evidence from the American Mathematics Competitions," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 109-128, Spring.
    2. Germán Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," CRC TR 224 Discussion Paper Series crctr224_2023_490, University of Bonn and University of Mannheim, Germany.
    3. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    4. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.
    5. Tom Y Chang & Agne Kajackaite, 2019. "Battle for the thermostat: Gender and the effect of temperature on cognitive performance," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-10, May.
    6. 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.
    7. Christina Brown & Supreet Kaur & Geeta Kingdon & Heather Schofield, 2025. "Cognitive Endurance as Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 943-1002.
    8. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2016. "Mathematics and Gender: Heterogeneity in Causes and Consequences," Economic Journal, Royal Economic Society, vol. 126(593), pages 1129-1163, June.
    9. Falch, Torberg & Nyhus, Ole Henning & Strøm, Bjarne, 2014. "Causal effects of mathematics," Labour Economics, Elsevier, vol. 31(C), pages 174-187.
    10. Claire Duquennois, 2022. "Fictional Money, Real Costs: Impacts of Financial Salience on Disadvantaged Students," American Economic Review, American Economic Association, vol. 112(3), pages 798-826, March.
    11. Emma Carey & Amy Devine & Francesca Hill & Dénes Szűcs, 2017. "Differentiating anxiety forms and their role in academic performance from primary to secondary school," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-20, March.
    12. Joshua D. Angrist & Victor Lavy & Jetson Leder-Luis & Adi Shany, 2019. "Maimonides' Rule Redux," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 309-324, December.
    13. Pelin Akyol & Kala Krishna & Jinwen Wang, 2021. "Taking PISA Seriously: How Accurate are Low-Stakes Exams?," Journal of Labor Research, Springer, vol. 42(2), pages 184-243, June.
    14. Balart, Pau & Oosterveen, Matthijs & Webbink, Dinand, 2018. "Test scores, noncognitive skills and economic growth," Economics of Education Review, Elsevier, vol. 63(C), pages 134-153.
    15. Andresen, Martin Eckhoff & Løkken, Sturla Andreas, 2020. "The Final straw: High school dropout for marginal students," MPRA Paper 106265, University Library of Munich, Germany.
    16. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    17. Cohen, Alma & Karelitz, Tzur & Kricheli Katz, Tamar & Pumpian, Sephi & Regev, Tali, 2023. "Gender-Neutral Language and Gender Disparities," CEPR Discussion Papers 18242, C.E.P.R. Discussion Papers.
    18. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    19. Cho, Hyunkuk & Glewwe, Paul & Whitler, Melissa, 2012. "Do reductions in class size raise students’ test scores? Evidence from population variation in Minnesota's elementary schools," Economics of Education Review, Elsevier, vol. 31(3), pages 77-95.
    20. R. Jisung Park, 2022. "Hot Temperature and High-Stakes Performance," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 400-434.
    Full references (including those not matched with items on IDEAS)

    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. Axel Eizmendi Larrinaga & Germ'an Reyes, 2025. "Cash and Cognition: The Impact of Transfer Timing on Standardized Test Performance and Human Capital," Papers 2507.21393, arXiv.org.
    2. Maximilian Bach & Stephan Sievert, 2025. "Birth Cohort Size Variation and the Estimation of Class Size Effects," Journal of Human Resources, University of Wisconsin Press, vol. 60(2), pages 578-606.
    3. Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
    4. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.
    5. Griselda, Silvia, 2024. "Gender gap in standardized tests: What are we measuring?," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 191-229.
    6. Marie Connolly & Catherine Haeck, 2018. "Le lien entre la taille des classes et les compétences cognitives et non cognitives," CIRANO Project Reports 2018rp-18, CIRANO.
    7. Gourley, Patrick, 2021. "Back to basics: How reading the text and taking notes improves learning," International Review of Economics Education, Elsevier, vol. 37(C).
    8. David J. Deming & Mikko I. Silliman, 2024. "Skills and Human Capital in the Labor Market," NBER Working Papers 32908, National Bureau of Economic Research, Inc.
    9. Stans, Renske A., 2022. "Short-run shock, long-run consequences? The impact of grandparental death on educational outcomes," Economics of Education Review, Elsevier, vol. 91(C).
    10. Graham McKee & Katharine Sims & Steven Rivkin, 2015. "Disruption, learning, and the heterogeneous benefits of smaller classes," Empirical Economics, Springer, vol. 48(3), pages 1267-1286, May.
    11. Dossi, Gaia & Figlio, David & Giuliano, Paola & Sapienza, Paola, 2021. "Born in the family: Preferences for boys and the gender gap in math," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 175-188.
    12. Adrien Bouguen & Julien Grenet & Marc Gurgand, 2017. "Does class size influence student achievement?," Post-Print halshs-02522747, HAL.
    13. Chingos, Matthew M., 2012. "The impact of a universal class-size reduction policy: Evidence from Florida's statewide mandate," Economics of Education Review, Elsevier, vol. 31(5), pages 543-562.
    14. Matthew M. Chingos & Kenneth A. Couch, 2013. "Class Size and Student Outcomes: Research and Policy Implications," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(2), pages 411-438, March.
    15. Justman, Moshe & Méndez, Susan J., 2018. "Gendered choices of STEM subjects for matriculation are not driven by prior differences in mathematical achievement," Economics of Education Review, Elsevier, vol. 64(C), pages 282-297.
    16. Borghans, Lex & Diris, Ron & Tavares, Mariana, 2025. "Time Well Spent? The Role of Test Effort in Explaining Achievement Gaps," IZA Discussion Papers 17734, IZA Network @ LISER.
    17. Silvia Griselda, 2020. "Different Questions, Different Gender Gap: Can the Format of Questions Explain the Gender Gap in Mathematics?," 2020 Papers pgr710, Job Market Papers.
    18. Hægeland, Torbjørn & Raaum, Oddbjørn & Salvanes, Kjell G., 2012. "Pennies from heaven? Using exogenous tax variation to identify effects of school resources on pupil achievement," Economics of Education Review, Elsevier, vol. 31(5), pages 601-614.
    19. Adrien Bouguen & Julien Grenet & Marc Gurgand, 2017. "Does class size influence student achievement?," Post-Print halshs-02522747, HAL.
    20. Raymundo M. Campos Vázquez & Alma S. Santillán Hernández, 2016. "Análisis de diferencias en puntajes en la prueba ENLACE entre niños y niñas en el sistema escolar mexicano," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 31(1), pages 65-123.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:hhs:nhheco:2024_004. 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: Synne Stormoen (email available below). General contact details of provider: https://edirc.repec.org/data/sonhhno.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.