IDEAS home Printed from https://ideas.repec.org/p/hit/hituec/775.html

Test-optional Admissions and Job Market Performance : Experimental Evidence from Japan

Author

Listed:
  • UCHIKOSHI, Fumiya
  • GAGNON, Etienne
  • YAMAGISHI, Atsushi

Abstract

We analyze how test-optional admissions affect students’ job market outcomes. To this end, we conduct an experiment that corrects employers’misperceptions about the prevalence of test-optional admissions in Japan, where both test-optional and test-based admissions coexist within the same schools and programs. We find that test-optional admissions function as a signal of students’ ability and induce statistical discrimination against test-optional applicants during resume screening. This discount applied to test-optional applicants is particularly pronounced at lower-ranked institutions, which tend to enroll students from lower socioeconomic backgrounds. Consequently, the adoption of test-optional admissions may disproportionately harm these students in the labor market.

Suggested Citation

  • UCHIKOSHI, Fumiya & GAGNON, Etienne & YAMAGISHI, Atsushi, 2026. "Test-optional Admissions and Job Market Performance : Experimental Evidence from Japan," Discussion Paper Series 775, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:hituec:775
    as

    Download full text from publisher

    File URL: https://hit-u.repo.nii.ac.jp/record/2061606/files/DP775.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wen LI & Kunio URAKAWA & Fumihiko SUGA, 2023. "The Gender Gap in the Returns From College Education in Japan: The Impact of Attending a High-Ranking College," Social Science Japan Journal, University of Tokyo and Oxford University Press, vol. 26(1), pages 61-76.
    2. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    3. David L. Dickinson & Ronald L. Oaxaca, 2009. "Statistical Discrimination in Labor Markets: An Experimental Analysis," Southern Economic Journal, John Wiley & Sons, vol. 76(1), pages 16-31, July.
    4. Bruce Sacerdote & Douglas O. Staiger & Michele Tine, 2025. "How Test Optional Policies in College Admissions Disproportionately Harm High Achieving Applicants from Disadvantaged Backgrounds," NBER Working Papers 33389, National Bureau of Economic Research, Inc.
    5. Saboe, Matt & Terrizzi, Sabrina, 2019. "SAT optional policies: Do they influence graduate quality, selectivity or diversity?," Economics Letters, Elsevier, vol. 174(C), pages 13-17.
    6. David L. Dickinson & Ronald L. Oaxaca, 2009. "Statistical Discrimination in Labor Markets: An Experimental Analysis," Southern Economic Journal, Southern Economic Association, vol. 76(1), pages 16-31, July.
    7. Erik Snowberg & Leeat Yariv, 2021. "Testing the Waters: Behavior across Participant Pools," American Economic Review, American Economic Association, vol. 111(2), pages 687-719, February.
    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. Katherine B. Coffman & Christine L. Exley & Muriel Niederle, 2021. "The Role of Beliefs in Driving Gender Discrimination," Management Science, INFORMS, vol. 67(6), pages 3551-3569, June.
    2. David Masclet & David L. Dickinson, 2025. "Incorporating conditional morality into economic decisions," Theory and Decision, Springer, vol. 98(1), pages 95-152, February.
    3. Chen, Yiu Por (Vincent) & Zhang, Yuan, 2018. "A decomposition method on employment and wage discrimination and its application in urban China (2002–2013)," World Development, Elsevier, vol. 110(C), pages 1-12.
    4. Eva O. Arceo-Gomez & Raymundo M. Campos-Vazquez, 2014. "Race and Marriage in the Labor Market: A Discrimination Correspondence Study in a Developing Country," American Economic Review, American Economic Association, vol. 104(5), pages 376-380, May.
    5. Lopez Barrera, E., 2018. "Hispanics immigrants in the fields: is discrimination a barrier to get non-agricultural jobs?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276016, International Association of Agricultural Economists.
    6. Harpreet Singh, 2024. "Does Labour Market Discriminate Against the Scheduled Castes? Empirical Evidence from Rural Punjab, India," Millennial Asia, , vol. 15(4), pages 620-639, December.
    7. Baert, Stijn, 2015. "Hiring a Homosexual, Taking a Risk? A Lab Experiment on Employment Discrimination and Risk Aversion," IZA Discussion Papers 9536, IZA Network @ LISER.
    8. Paulo Arvate & Lisa Lenz & Sergio Mittlaender, 2024. "Strategic discrimination and the emergence of systematic exclusion," Empirical Economics, Springer, vol. 66(3), pages 1383-1401, March.
    9. Castillo, Marco & Petrie, Ragan, 2010. "Discrimination in the lab: Does information trump appearance?," Games and Economic Behavior, Elsevier, vol. 68(1), pages 50-59, January.
    10. Rödin, Magnus & Özcan, Gülay, 2011. "Is It How You Look or Speak That Matters? - An Experimental Study Exploring the Mechanisms of Ethnic Discrimination," Research Papers in Economics 2011:12, Stockholm University, Department of Economics.
    11. David Masclet & Emmanuel Peterle & Sophie Larribeau, 2012. "The Role of Information in Deterring Discrimination: A New Experimental Evidence of Statistical Discrimination," Economics Working Paper Archive (University of Rennes & University of Caen) 201238, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    12. Magnus Rodin & Gulay Ozcan, 2013. "Is It How You Look or Speak That Matters? “An Experimental Study Exploring the Mechanisms of Ethnic Discrimination”," Working Papers 009, Bahcesehir University, Betam.
    13. Zhisheng Chen, 2023. "Ethics and discrimination in artificial intelligence-enabled recruitment practices," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    14. Drydakis, Nick, 2011. "Roma Women in Athenian Firms: Do They Face Wage Bias?," IZA Discussion Papers 5732, IZA Network @ LISER.
    15. Julien Picault, 2023. "A strategic approach to managerial compliance with equal pay policies," SN Business & Economics, Springer, vol. 3(8), pages 1-21, August.
    16. David Neumark & Judith Rich, 2019. "Do Field Experiments on Labor and Housing Markets Overstate Discrimination? A Re-examination of the Evidence," ILR Review, Cornell University, ILR School, vol. 72(1), pages 223-252, January.
    17. David Neumark, 2018. "Experimental Research on Labor Market Discrimination," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 799-866, September.
    18. Rödin, Magnus & Özcan, Gülay, 2011. "Is It How You Look or Speak That Matters? - An Experimental Study Exploring the Mechanisms of Ethnic Discrimination," SULCIS Working Papers 2011:3, Stockholm University, Linnaeus Center for Integration Studies - SULCIS.
    19. Wehn‐Jyuan Tsai, 2023. "Immigration and inequality: Analysis of Mainland Chinese spouses during the early stages of their time in Taiwan," Pacific Economic Review, Wiley Blackwell, vol. 28(4), pages 519-551, October.
    20. David Neumark, 2012. "Detecting Discrimination in Audit and Correspondence Studies," Journal of Human Resources, University of Wisconsin Press, vol. 47(4), pages 1128-1157.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • 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:hit:hituec:775. 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: Hiromichi Miyake (email available below). General contact details of provider: https://edirc.repec.org/data/iehitjp.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.