IDEAS home Printed from https://ideas.repec.org/a/ucp/jlstud/doi10.1086-682697.html
   My bibliography  Save this article

Do Attorney Surveys Measure Judicial Performance or Respondent Ideology? Evidence from Online Evaluations

Author

Listed:
  • Thomas J. Miles

Abstract

Which judges are "good" at their jobs, and which are not? The answer may depend on the ideology of whom you ask. Judicial decisions inevitably involve policy making, and lawyers may prefer judges whose policy preferences match their own. This paper tests that prediction with online evaluations of judges. Criminal defense attorneys, a group likely to hold progressive views, make up a disproportionate share of the respondents. The respondents assign lower average scores to Republican appointees, especially female and minority ones, even after controlling for the judges' backgrounds and performance measures. In comments, respondents object to judges with conservative tendencies more often than those with liberal ones. The objections to conservative tendencies correlate with large reductions in a judge's numerical ratings, while objections to liberal ones do not. The results suggest that judicial evaluation surveys should take account of how attorneys' ideology influences their perceptions of judicial performance.

Suggested Citation

  • Thomas J. Miles, 2015. "Do Attorney Surveys Measure Judicial Performance or Respondent Ideology? Evidence from Online Evaluations," The Journal of Legal Studies, University of Chicago Press, vol. 44(S1), pages 231-267.
  • Handle: RePEc:ucp:jlstud:doi:10.1086/682697
    DOI: 10.1086/682697
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/682697
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/682697
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/682697?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    2. Hamermesh, Daniel S. & Parker, Amy, 2005. "Beauty in the classroom: instructors' pulchritude and putative pedagogical productivity," Economics of Education Review, Elsevier, vol. 24(4), pages 369-376, August.
    3. Michael A. McPherson & R. Todd Jewell, 2007. "Leveling the Playing Field: Should Student Evaluation Scores be Adjusted?," Social Science Quarterly, Southwestern Social Science Association, vol. 88(3), pages 868-881, September.
    4. Bonica, Adam & Sen, Maya, 2015. "The Politics of Selecting the Bench from the Bar: The Legal Profession and Partisan Incentives to Politicize the Judiciary," Working Paper Series rwp15-001, Harvard University, John F. Kennedy School of Government.
    5. Dobrescu, Loretti I. & Luca, Michael & Motta, Alberto, 2013. "What makes a critic tick? Connected authors and the determinants of book reviews," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 85-103.
    6. Bonica, Adam & Chilton, Adam S. & Sen, Maya, 2015. "The Political Ideologies of American Lawyers," Working Paper Series 15-049, Harvard University, John F. Kennedy School of Government.
    7. Jeffrey A. Livingston, 2005. "How Valuable Is a Good Reputation? A Sample Selection Model of Internet Auctions," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 453-465, August.
    8. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    9. Thomas J. Miles, 2012. "Racial Disparities in Wiretap Applications before Federal Judges," The Journal of Legal Studies, University of Chicago Press, vol. 41(2), pages 419-458.
    10. Wang Zhongmin, 2010. "Anonymity, Social Image, and the Competition for Volunteers: A Case Study of the Online Market for Reviews," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-35, May.
    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. 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).

    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. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    2. Paul Belleflamme & Martin Peitz, 2018. "Inside the Engine Room of Digital Platforms: Reviews, Ratings, and Recommendations," Working Papers halshs-01714549, HAL.
    3. Michael Luca & Oren Reshef, 2021. "The Effect of Price on Firm Reputation," Management Science, INFORMS, vol. 67(7), pages 4408-4419, July.
    4. Michael Luca & Oren Reshef, 2020. "The Effect of Price on Firm Reputation," NBER Working Papers 27405, National Bureau of Economic Research, Inc.
    5. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    6. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    7. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
    8. Apostolos Filippas & John J. Horton & Richard J. Zeckhauser, 2020. "Owning, Using, and Renting: Some Simple Economics of the “Sharing Economy”," Management Science, INFORMS, vol. 66(9), pages 4152-4172, September.
    9. Vollaard, Ben & van Ours, Jan C., 2022. "Bias in expert product reviews," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 105-118.
    10. Jolivet, Grégory & Jullien, Bruno & Postel-Vinay, Fabien, 2016. "Reputation and prices on the e-market: Evidence from a major French platform," International Journal of Industrial Organization, Elsevier, vol. 45(C), pages 59-75.
    11. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    12. Christoph Carnehl & Maximilian Schaefer & André Stenzel & Kevin Ducbao Tran, 2022. "Value for Money and Selection: How Pricing Affects Airbnb Ratings," Working Papers 684, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    13. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.
    14. Behnud Djawadi & Rene Fahr & Claus-Jochen Haake & Sonja Recker, 2017. "Maintaing vs. Milking Good Reputation when Customer Feedback is Inaccurate," Working Papers CIE 106, Paderborn University, CIE Center for International Economics.
    15. Jong-Rong Chen & Kong-Pin Chen & Chien-Fu Chou & Ching-I Huang, 2013. "A Dynamic Model of Auctions with Buy-It-Now: Theory and Evidence," Journal of Industrial Economics, Wiley Blackwell, vol. 61(2), pages 393-429, June.
    16. Xiang Hui & Tobias J. Klein & Konrad Stahl, 2021. "When and Why Do Buyers Rate in Online Markets?," CRC TR 224 Discussion Paper Series crctr224_2021_267v1, University of Bonn and University of Mannheim, Germany.
    17. Liran Einav & Chiara Farronato & Jonathan Levin, 2016. "Peer-to-Peer Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 615-635, October.
    18. Theodoros Lappas & Gaurav Sabnis & Georgios Valkanas, 2016. "The Impact of Fake Reviews on Online Visibility: A Vulnerability Assessment of the Hotel Industry," Information Systems Research, INFORMS, vol. 27(4), pages 940-961, December.
    19. Mo Xiao & Jiandong Ju & Ying Fan, 2013. "Losing to Win: Reputation Management of Online Sellers," 2013 Meeting Papers 192, Society for Economic Dynamics.
    20. Anna Kerkhof, 2020. "Advertising and Content Differentiation: Evidence from YouTube," CESifo Working Paper Series 8697, CESifo.

    More about this item

    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:ucp:jlstud:doi:10.1086/682697. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JLS .

    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.