IDEAS home Printed from https://ideas.repec.org/p/zbw/dicedp/405.html
   My bibliography  Save this paper

Who's who: How uncertainty about the favored group effects outcomes of affirmative action

Author

Listed:
  • Trieu, Chi

Abstract

When affirmative action policies target more than one disadvantaged group, they contain uncertainty as to whether an individual who belongs to one of these groups was actually favored. In a laboratory experiment, we study how this feature affects outcomes of affirmative action in the form of quotas, and compare it with two other conditions, namely affirmative action with a certain favored group and no affirmative action. We find that when a group is favored with certainty and the social identity that triggers affirmative action is made salient, affirmed individuals are wrongly perceived as less competent, both by themselves and by others. Consequently, their willingness to compete does not increase and they are selected less for teamwork post competition. Affirmative action with uncertain favored groups does not distort belief in competence, and thus does not induce such unintended consequences. In contrast, it increases competition entry of the affirmed groups and enhances their chances of being selected for teamwork.

Suggested Citation

  • Trieu, Chi, 2023. "Who's who: How uncertainty about the favored group effects outcomes of affirmative action," DICE Discussion Papers 405, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  • Handle: RePEc:zbw:dicedp:405
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/273737/1/1854648683.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Banerjee, Ritwik & Gupta, Nabanita Datta & Villeval, Marie Claire, 2018. "The spillover effects of affirmative action on competitiveness and unethical behavior," European Economic Review, Elsevier, vol. 101(C), pages 567-604.
    2. Maggian, Valeria & Montinari, Natalia, 2017. "The spillover effects of gender quotas on dishonesty," Economics Letters, Elsevier, vol. 159(C), pages 33-36.
    3. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    4. Rohini Pande, 2003. "Can Mandated Political Representation Increase Policy Influence for Disadvantaged Minorities? Theory and Evidence from India," American Economic Review, American Economic Association, vol. 93(4), pages 1132-1151, September.
    5. Andrew Schotter & Keith Weigelt, 1992. "Asymmetric Tournaments, Equal Opportunity Laws, and Affirmative Action: Some Experimental Results," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 511-539.
    6. Andreas Leibbrandt & John A. List, 2018. "Do Equal Employment Opportunity Statements Backfire? Evidence From A Natural Field Experiment On Job-Entry Decisions," NBER Working Papers 25035, National Bureau of Economic Research, Inc.
    7. John Ifcher & Homa Zarghamee, 2016. "Do Gender-Variant Preferences For Competition Persist In The Absence Of Performance?," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1918-1930, October.
    8. Cornaglia, Francesca & Drouvelis, Michalis & Masella, Paolo, 2019. "Competition and the role of group identity," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 136-145.
    9. Laura K. Gee, 2019. "The More You Know: Information Effects on Job Application Rates in a Large Field Experiment," Management Science, INFORMS, vol. 67(5), pages 2077-2094, May.
    10. Calsamiglia, Caterina & Franke, Jörg & Rey-Biel, Pedro, 2013. "The incentive effects of affirmative action in a real-effort tournament," Journal of Public Economics, Elsevier, vol. 98(C), pages 15-31.
    11. Kato, Takao & Shu, Pian, 2016. "Competition and social identity in the workplace: Evidence from a Chinese textile firm," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 37-50.
    12. Raghabendra Chattopadhyay & Esther Duflo, 2004. "Women as Policy Makers: Evidence from a Randomized Policy Experiment in India," Econometrica, Econometric Society, vol. 72(5), pages 1409-1443, September.
    13. David Neumark & Harry Holzer, 2000. "Assessing Affirmative Action," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 483-568, September.
    14. Fallucchi, Francesco & Quercia, Simone, 2018. "Affirmative action and retaliation in experimental contests," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 23-40.
    15. Uri Gneezy & Kenneth L. Leonard & John A. List, 2009. "Gender Differences in Competition: Evidence From a Matrilineal and a Patriarchal Society," Econometrica, Econometric Society, vol. 77(5), pages 1637-1664, September.
    16. Nagore Iriberri & Pedro Rey-Biel, 2019. "Competitive Pressure Widens the Gender Gap in Performance: Evidence from a Two-stage Competition in Mathematics," The Economic Journal, Royal Economic Society, vol. 129(620), pages 1863-1893.
    17. Brice Corgnet & Roberto Hernán-González & Eric Schniter, 2015. "Why real leisure really matters: incentive effects on real effort in the laboratory," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 284-301, June.
    18. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance in Competitive Environments: Gender Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 1049-1074.
    19. Sebastian J. Goerg & Sebastian Kube & Jonas Radbruch, 2019. "The Effectiveness of Incentive Schemes in the Presence of Implicit Effort Costs," Management Science, INFORMS, vol. 65(9), pages 4063-4078, September.
    20. Muriel Niederle & Carmit Segal & Lise Vesterlund, 2013. "How Costly Is Diversity? Affirmative Action in Light of Gender Differences in Competitiveness," Management Science, INFORMS, vol. 59(1), pages 1-16, May.
    21. Balafoutas, Loukas & Davis, Brent J. & Sutter, Matthias, 2016. "Affirmative action or just discrimination? A study on the endogenous emergence of quotas," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 87-98.
    22. David A. Matsa & Amalia R. Miller, 2013. "A Female Style in Corporate Leadership? Evidence from Quotas," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 136-169, July.
    23. Marcela Ibanez & Gerhard Riener, 2018. "Sorting through Affirmative Action: Three Field Experiments in Colombia," Journal of Labor Economics, University of Chicago Press, vol. 36(2), pages 437-478.
    24. Matthias Sutter & Daniela Glätzle-Rützler, 2015. "Gender Differences in the Willingness to Compete Emerge Early in Life and Persist," Management Science, INFORMS, vol. 61(10), pages 2339-23354, October.
    25. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    26. Beaurain, Guillaume & Masclet, David, 2016. "Does affirmative action reduce gender discrimination and enhance efficiency? New experimental evidence," European Economic Review, Elsevier, vol. 90(C), pages 350-362.
    27. Peter Arcidiacono & Michael Lovenheim, 2016. "Affirmative Action and the Quality-Fit Trade-Off," Journal of Economic Literature, American Economic Association, vol. 54(1), pages 3-51, March.
    28. (Charlie) Chen, Zhuoqiong & Ong, David & Sheremeta, Roman, 2022. "Competition between and within universities: Theoretical and experimental investigation of group identity and the desire to win," Journal of Economic Psychology, Elsevier, vol. 93(C).
    29. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    30. Ben Gillen & Erik Snowberg & Leeat Yariv, 2019. "Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1826-1863.
    31. Edwin Ip & Andreas Leibbrandt & Joseph Vecci, 2020. "How Do Gender Quotas Affect Workplace Relationships? Complementary Evidence from a Representative Survey and Labor Market Experiments," Management Science, INFORMS, vol. 66(2), pages 805-822, February.
    32. Surendrakumar Bagde & Dennis Epple & Lowell Taylor, 2016. "Does Affirmative Action Work? Caste, Gender, College Quality, and Academic Success in India," American Economic Review, American Economic Association, vol. 106(6), pages 1495-1521, June.
    33. Kölle, Felix, 2017. "Affirmative action, cooperation, and the willingness to work in teams," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 50-62.
    34. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    35. Francesca Refsum Jensenius, 2015. "Development from Representation? A Study of Quotas for the Scheduled Castes in India," American Economic Journal: Applied Economics, American Economic Association, vol. 7(3), pages 196-220, July.
    36. Francesco Fallucchi & Simone Quercia, 2016. "Affirmative action and retaliation in experimental contests," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 16-03, School of Economics, University of East Anglia, Norwich, UK..
    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. Schildberg-Hörisch, Hannah & Trieu, Chi & Willrodt, Jana, 2020. "Perceived Fairness and Consequences of Affirmative Action Policies," IZA Discussion Papers 13202, Institute of Labor Economics (IZA).
    2. Hannah Schildberg-Hörisch & Marco A Schwarz & Chi Trieu & Jana Willrodt, 2023. "Perceived Fairness and Consequences of Affirmative Action Policies," The Economic Journal, Royal Economic Society, vol. 133(656), pages 3099-3135.
    3. Subhasish M. Chowdhury & Patricia Esteve‐González & Anwesha Mukherjee, 2023. "Heterogeneity, leveling the playing field, and affirmative action in contests," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 924-974, January.
    4. Balafoutas, Loukas & Sutter, Matthias, 2019. "How uncertainty and ambiguity in tournaments affect gender differences in competitive behavior," European Economic Review, Elsevier, vol. 118(C), pages 1-13.
    5. Fallucchi, Francesco & Quercia, Simone, 2018. "Affirmative action and retaliation in experimental contests," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 23-40.
    6. Petters, Lea M. & Schröder, Marina, 2020. "Negative side effects of affirmative action: How quotas lead to distortions in performance evaluation," European Economic Review, Elsevier, vol. 130(C).
    7. Felix Koelle, 2016. "Affirmative Action and Team Performance," Discussion Papers 2016-07, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    8. Banerjee, Ritwik & Gupta, Nabanita Datta & Villeval, Marie Claire, 2018. "The spillover effects of affirmative action on competitiveness and unethical behavior," European Economic Review, Elsevier, vol. 101(C), pages 567-604.
    9. Eszter Czibor & Silvia Dominguez Martinez, 2019. "Never too Late: Gender Quotas in the Final Round of a Multistage Tournament," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 35(2), pages 319-363.
    10. Francesco Fallucchi & Simone Quercia, 2016. "Affirmative action and retaliation in experimental contests," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 16-03, School of Economics, University of East Anglia, Norwich, UK..
    11. Herzog, Sabrina & Schildberg-Hörisch, Hannah & Trieu, Chi & Willrodt, Jana, 2023. "Who is in favor of affirmative action? Representative evidence from an experiment and a survey," DICE Discussion Papers 409, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    12. Edwin Ip & Andreas Leibbrandt & Joseph Vecci, 2020. "How Do Gender Quotas Affect Workplace Relationships? Complementary Evidence from a Representative Survey and Labor Market Experiments," Management Science, INFORMS, vol. 66(2), pages 805-822, February.
    13. José J. Domínguez & Natalia Montinari, 2021. "Gender Quotas and Task Assignment in Organizations," ThE Papers 21/13, Department of Economic Theory and Economic History of the University of Granada..
    14. Kölle, Felix, 2017. "Affirmative action, cooperation, and the willingness to work in teams," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 50-62.
    15. Helena Fornwagner & Monika Pompeo & Nina Serdarevic, 2023. "Choosing Competition on Behalf of Someone Else," Management Science, INFORMS, vol. 69(3), pages 1555-1574, March.
    16. Hessami, Zohal & da Fonseca, Mariana Lopes, 2020. "Female political representation and substantive effects on policies: A literature review," European Journal of Political Economy, Elsevier, vol. 63(C).
    17. Edwin Ip & Andreas Leibbrandt & Joseph Vecci, 2018. "How Do Gender Quotas Affect Hierarchical Relationships? Complementary Evidence from a Respresentative Survey and Labor Market Experiments," CESifo Working Paper Series 6915, CESifo.
    18. Muriel Niederle & Carmit Segal & Lise Vesterlund, 2013. "How Costly Is Diversity? Affirmative Action in Light of Gender Differences in Competitiveness," Management Science, INFORMS, vol. 59(1), pages 1-16, May.
    19. Ji‐Hung Choi & Hannah Oh & John Bae & Sang‐Joon Kim, 2021. "Affirmative action and team performance: An agency theoretic perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1183-1193, July.
    20. Osório, António (António Miguel), 2021. "The society gendered equilibrium: in search for an economic rationale," Working Papers 2072/534913, Universitat Rovira i Virgili, Department of Economics.

    More about this item

    Keywords

    Affirmative action; Competition; Uncertainty; Identity; Experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • 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:zbw:dicedp:405. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/diduede.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.