IDEAS home Printed from https://ideas.repec.org/p/wrk/warwec/1256.html
   My bibliography  Save this paper

Stereotypes in High-Stakes Decisions : Evidence from U.S. Circuit Courts

Author

Listed:
  • Ash, Elliott

    (ETH Zurich)

  • Chen, Daniel L.

    (Toulouse School of Economics)

  • Ornaghi, Arianna

    (University of Warwick)

Abstract

Stereotypes are thought to be an important determinant of decision making, but they are hard to systematically measure, especially for individuals in policy-making roles. In this paper, we propose and implement a novel language-based measure of gender stereotypes for the high-stakes context of U.S. Appellate Courts. We construct a judge-specific measure of gender- stereotyped language use – gender slant – by looking at the linguistic association of words identifying gender (male versus female) and words identifying gender stereotypes (career versus family) in the judge’s authored opinions. Exploiting quasi-random assignment of judges to cases and conditioning on detailed biographical characteristics of judges, we study how gen- der stereotypes influence judicial behavior. We find that judges with higher slant vote more conservatively on women’s rights’ issues (e.g. reproductive rights, sexual harassment, and gender discrimination). These more slanted judges also influence workplace outcomes for female colleagues: they are less likely to assign opinions to female judges, they are more likely to reverse lower-court decisions if the lower-court judge is a woman, and they cite fewer female authored opinions

Suggested Citation

  • Ash, Elliott & Chen, Daniel L. & Ornaghi, Arianna, 2020. "Stereotypes in High-Stakes Decisions : Evidence from U.S. Circuit Courts," The Warwick Economics Research Paper Series (TWERPS) 1256, University of Warwick, Department of Economics.
  • Handle: RePEc:wrk:warwec:1256
    as

    Download full text from publisher

    File URL: https://warwick.ac.uk/fac/soc/economics/research/workingpapers/2020/twerp_1256_-_ornaghi.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Arnold & Will Dobbie & Crystal S Yang, 2018. "Racial Bias in Bail Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1885-1932.
    2. Alberto Alesina & Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2018. "Revealing Stereotypes: Evidence from Immigrants in Schools," NBER Working Papers 25333, National Bureau of Economic Research, Inc.
    3. Elliott Ash & W. Bentley MacLeod, 2015. "Intrinsic Motivation in Public Service: Theory and Evidence from State Supreme Courts," Journal of Law and Economics, University of Chicago Press, vol. 58(4).
    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. Ramos Maqueda,Manuel & Chen,Daniel Li, 2021. "The Role of Justice in Development : The Data Revolution," Policy Research Working Paper Series 9720, The World Bank.

    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. Ash, Elliott & Chen, Daniel L. & Ornaghi, Arianna, 2020. "Gender Attitudes in the Judiciary:Evidence from U.S. Circuit Courts," CAGE Online Working Paper Series 462, Competitive Advantage in the Global Economy (CAGE).
    2. Nikoloz Kudashvili & Philipp Lergetporer, 2019. "Do Minorities Misrepresent Their Ethnicity to Avoid Discrimination?," CESifo Working Paper Series 7861, CESifo.
    3. Ash, Elliott & MacLeod, W. Bentley, 2021. "Reducing partisanship in judicial elections can improve judge quality: Evidence from U.S. state supreme courts," Journal of Public Economics, Elsevier, vol. 201(C).
    4. Kudashvili, Nikoloz & Lergetporer, Philipp, 2022. "Minorities’ strategic response to discrimination: Experimental evidence," Journal of Public Economics, Elsevier, vol. 208(C).
    5. Takao Kato & Yang Song, 2022. "Advising, gender, and performance: Evidence from a university with exogenous adviser–student gender match," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 121-141, January.
    6. Kerim Peren Arin & Juan A. Lacomba & Francisco Lagos & Deni Mazrekaj & Marcel Thum, 2021. "Misperceptions and Fake News during the Covid-19 Pandemic," CESifo Working Paper Series 9066, CESifo.
    7. J. Michelle Brock & Ralph De Haas, 2023. "Discriminatory Lending: Evidence from Bankers in the Lab," American Economic Journal: Applied Economics, American Economic Association, vol. 15(2), pages 31-68, April.
    8. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.
    9. Yahagi, Ken, 2021. "Law enforcement with motivated agents," International Review of Law and Economics, Elsevier, vol. 66(C).
    10. Michela Carlana, 2019. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1163-1224.
    11. Daniel Martin & Philip Marx, 2022. "A Robust Test of Prejudice for Discrimination Experiments," Management Science, INFORMS, vol. 68(6), pages 4527-4536, June.
    12. Barron, Kai & Ditlmann, Ruth & Gehrig, Stefan & Schweighofer-Kodritsch, Sebastian, 2020. "Explicit and implicit belief-based gender discrimination: A hiring experiment," Discussion Papers, Research Unit: Economics of Change SP II 2020-306, WZB Berlin Social Science Center.
    13. Maria Zumbuehl & Nihal Chehber & Rik Dillingh, 2022. "Can skill differences explain the gap in the track recommendation by socio-economic status?," CPB Discussion Paper 439, CPB Netherlands Bureau for Economic Policy Analysis.
    14. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2021. "The Demand for Fact-Checking," CESifo Working Paper Series 9061, CESifo.
    15. Subhasish M. Chowdhury & Sarah Jewell & Carl Singleton, 2023. "Can Awareness Reduce (and Reverse) Identity-driven Bias in Judgement? Evidence from International Cricket," Economics Discussion Papers em-dp2023-10, Department of Economics, University of Reading.
    16. Boring, Anne & Philippe, Arnaud, 2021. "Reducing discrimination in the field: Evidence from an awareness raising intervention targeting gender biases in student evaluations of teaching," Journal of Public Economics, Elsevier, vol. 193(C).
    17. Gregory DeAngelo & Bryan C. McCannon, 2019. "Political competition in judge and prosecutor elections," European Journal of Law and Economics, Springer, vol. 48(2), pages 167-193, October.
    18. Ingar Haaland & Christopher Roth, 2023. "Beliefs about Racial Discrimination and Support for Pro-Black Policies," The Review of Economics and Statistics, MIT Press, vol. 105(1), pages 40-53, January.
    19. Elliott Ash & Daniel L. Chen & Sergio Galletta, 2022. "Measuring Judicial Sentiment: Methods and Application to US Circuit Courts," Economica, London School of Economics and Political Science, vol. 89(354), pages 362-376, April.
    20. Laura Giuliano, 2022. "A Comment on: “Goals and Gaps: Educational Careers of Immigrant Children” by Michela Carlana, Eliana La Ferrara, Paolo Pinotti," Econometrica, Econometric Society, vol. 90(1), pages 39-42, January.

    More about this item

    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:wrk:warwec:1256. 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: Margaret Nash (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.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.