IDEAS home Printed from https://ideas.repec.org/p/tse/iastwp/33156.html
   My bibliography  Save this paper

Attorney Voice and the U.S. Supreme Court

Author

Listed:
  • Chen, Daniel L.

Abstract

Using data from 1946–2014, we show that audio features of lawyers’ introductory statements improve the performance of the best prediction models of Supreme Court outcomes. We infer voice attributes using a 15-year sample of human-labeled Supreme Court advocate voices. Audio features improved prediction of case outcomes by 1.1 percentage points. Lawyer traits receive approximately half the weight of the most important feature from the models without audio features.

Suggested Citation

  • Chen, Daniel L., 2018. "Attorney Voice and the U.S. Supreme Court," IAST Working Papers 18-91, Institute for Advanced Study in Toulouse (IAST).
    • Handle: RePEc:tse:iastwp:33156
    as

    Download full text from publisher

    File URL: http://iast.fr/pub/33156
    Download Restriction: no
    File URL: http://users.nber.org/~dlchen/papers/Attorney_Voice_and_the_US_Supreme_Court_LawAsData.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marianne Bertrand & Esther Duflo, 2016. "Field Experiments on Discrimination," NBER Working Papers 22014, National Bureau of Economic Research, Inc.
    2. Chen, Daniel L. & Halberstam, Yosh & Yu, Alan, 2016. "Covering: Mutable Characteristics and Perceptions of (Masculine) Voice in the U.S. Supreme Court," IAST Working Papers 16-38, Institute for Advanced Study in Toulouse (IAST), revised Feb 2020.
    3. Jeffrey Grogger, 2011. "Speech Patterns and Racial Wage Inequality," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 1-25.
    4. David Neumark, 2016. "Experimental Research on Labor Market Discrimination," NBER Working Papers 22022, National Bureau of Economic Research, Inc.
    5. William J. Mayew & Mohan Venkatachalam, 2012. "The Power of Voice: Managerial Affective States and Future Firm Performance," Journal of Finance, American Finance Association, vol. 67(1), pages 1-44, 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. Chen, Daniel L., 2018. "Attorney Voice and the U.S. Supreme Court," TSE Working Papers 18-978, Toulouse School of Economics (TSE).
    2. Chen, Daniel L. & Sethi, Jasmin, 2016. "Insiders, Outsiders, and Involuntary Unemployment: Sexual Harrassment Exacerbates Gender Inequality," IAST Working Papers 16-44, Institute for Advanced Study in Toulouse (IAST).
    3. Baert, Stijn, 2017. "Hiring Discrimination: An Overview of (Almost) All Correspondence Experiments Since 2005," GLO Discussion Paper Series 61, Global Labor Organization (GLO).
    4. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).
    5. Diaz, Ana Maria & Salas, Luz Magdalena, 2020. "Do firms redline workers?," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    6. Francisco B. Galarza, 2017. "Trust and Trustworthiness in College: An Experimental Analysis," Working Papers 17-03, Centro de Investigación, Universidad del Pacífico.
    7. Lisa Simon, 2019. "Microeconometric Analyses on Determinants of Individual Labour Market Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 83.
    8. Morten Størling Hedegaard & Jean-Robert Tyran, 2018. "The Price of Prejudice," American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 40-63, January.
    9. Sascha O. Becker & Ana Fernandes & Doris Weichselbaumer, 2018. "Fertility Discrimination in Hiring? Evidence from a Field Experiment," 2018 Meeting Papers 650, Society for Economic Dynamics.
    10. Dileni Gunewardena & Abdoulaye Seck, 2020. "Heterogeneity in entrepreneurship in developing countries: Risk, credit, and migration and the entrepreneurial propensity of youth and women," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 713-725, August.
    11. Benjamin Marx & Vincent Pons & Tavneet Suri, 2021. "Diversity and Team Performance in a Kenyan Organization," NBER Working Papers 28655, National Bureau of Economic Research, Inc.
    12. Grogger, Jeffrey & Steinmayr, Andreas & Winter, Joachim, 2019. "The Wage Penalty of Regional Accents," Rationality and Competition Discussion Paper Series 184, CRC TRR 190 Rationality and Competition.
    13. Laetitia Challe & Yannick L'Horty & Pascale Petit & François-Charles Wolff, 2018. "Les discriminations dans l'accès à l'emploi privé et public : les effets de l'origine, de l'adresse, du sexe et de l'orientation sexuelle," Working Papers halshs-01878469, HAL.
    14. Yao, Yuxin & Ohinata, Asako & van Ours, Jan, 2016. "The Education Consequences of Language Proficiency for Young Children," Other publications TiSEM 55d080a9-861e-4372-b542-e, Tilburg University, School of Economics and Management.
    15. Daniel Bradley & Sinan Gokkaya & Xi Liu, 2020. "Ties That Bind: The Value of Professional Connections to Sell-Side Analysts," Management Science, INFORMS, vol. 66(9), pages 4118-4151, September.
    16. Alexander Mohr & Christian Schumacher, 2019. "The Contingent Effect of Patriotic Rhetoric on Firm Performance," Strategy Science, INFORMS, vol. 4(2), pages 94-110, June.
    17. repec:hal:spmain:info:hdl:2441/26s2fhqla9901btt78qnrel14d is not listed on IDEAS
    18. Paul Brockman & Jim Cicon, 2013. "The Information Content Of Management Earnings Forecasts: An Analysis Of Hard Versus Soft Information," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(2), pages 147-174, June.
    19. Francisco B. Galarza & Gustavo Yamada, 2017. "Triple penalty in employment access: The role of beauty, race, and sex," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 29-47, May.
    20. Geng, Yuedan & Ye, Qiang & Jin, Yu & Shi, Wen, 2022. "Crowd wisdom and internet searches: What happens when investors search for stocks?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    21. Scoles, Brooke & Nicodemo, Catia, 2022. "Doctors’ attitudes toward specific medical conditions," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 182-199.

    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:tse:iastwp:33156. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/iasttfr.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.