Theories of Judicial Behaviour

Week 2

Dr Michal Ovádek

How do judges make decisions?

  • modern judges are meant to apply legal rules to establish facts and decide disputes about the law
  • in the process of doing so, they are frequently the ultimate authority deciding what the law “is” (and isn’t)
  • in this module we will be more concerned with how judges make decisions rather than how they should make decisions

How do judges make decisions?

  • the legalist perspective

    \[ decision = facts \times law \]

    • judges consistently apply legal rules to decide disputes

    • decisions are only guided by facts and the law

    • judges assess both facts and the law objectively

    • the ruling is an honest representation of the judge’s views

Legalism

  • assumptions behind the legalist perspective

    • there is one or “best” answer to any legal dispute

    • legal rules are determinate and contain solutions to problems

    • judges are capable of identifying the best legal answer to a problem

Legalism

  • issues with the legalist perspective

    • judges have preferences and unconscious biases

    • there are often many overlapping rules

    • there are often many possible ways to decide a dispute (discretion)

Complexity of rules

Let’s consider the following simplistic case.

Law:

Rule 1: The government can force foreign companies to sell their assets if they threaten national security.

Facts:

A company based in a rival country wields a lot of influence in the Country. Its service facilitates the freedom of expression of millions of people. It collects data about its users. It does not share the data with the rival government. The Government invokes Rule 1 and orders a sale of the company’s assets. The company disputes the legality of the order.

Complexity of rules

Law:

Rule 1: The government can force foreign companies to sell their assets if they threaten national security.

Rule 2: Companies are free to operate a business in the country.

Facts:

A company based in a rival country wields a lot of influence in the Country. Its service facilitates the freedom of expression of millions of people. It collects data about its users. It does not share the data with the rival government. The Government invokes Rule 1 and orders a sale of the company’s assets. The company disputes the legality of the order.

Complexity of rules

Law:

Rule 1: The government can force foreign companies to sell their assets if they threaten national security.

Rule 2: Companies are free to operate a business in the country.

Rule 3: Individuals have a right to express themselves freely.

Facts:

A company based in a rival country wields a lot of influence in the Country. Its service facilitates the freedom of expression of millions of people. It collects data about its users. It does not share the data with the rival government. The Government invokes Rule 1 and orders a sale of the company’s assets. The company disputes the legality of the order.

Complexity of rules

  • in a real legal system, there are millions of rules

    • which subset of them should be applied in a case?
  • the interpretation of both facts and the law entails discretion

Ambiguity and disputes

Ambiguity and disputes

Ambiguity and disputes

  • where the law is perceived as unambiguous, it is less likely that a plaintiff would sue

    • there will be exceptions, e.g. criminal trials (but settlements)
  • the more ambiguity, the more discretion a judge has in deciding

Ambiguity and disputes

Dyevre, Arthur. “Unifying the field of comparative judicial politics: towards a general theory of judicial behaviour.” European Political Science Review 2, no. 2 (2010): p. 313

Theories of judicial behaviour

  • attitudinal

  • economic

  • cognitive

Attitudinal explanations

Attitudinal explanations

  • the law alone does not determine case outcomes; judges’ attitudinal preferences matter more

  • originally motivated by the study of the US Supreme Court (SCOTUS)

  • judges have political preferences which can be ideological or even partisan

  • judges might seek desired policy outcomes consciously or subconsciously

Attitudinal explanations

Attitudinal explanations

Attitudinal explanations

  • SCOTUS votes can be predicted from newspaper descriptions of the nominees (Segal and Cover 1989; Cameron and Park 2009)

  • with some exceptions (Weinshall-Margel 2011), partisan identification predicts how judges decide

  • many judicial attitudes can be mapped onto a left-right dimension of political conflict

  • variation in attitudes stems from a number of sources, including judges’ background characteristics

Attitudinal explanations

“judges’ decisions are a function of what they prefer to do, tempered by what they think they ought to do, but constrained by what they perceive is feasible to do” (Gibson 1983, 9)

  • attitudinal explanations are most relevant in “policy” cases, i.e. when matters of public policy play a role in the dispute

  • judicial preferences and decision-making are multidimensional – the identity of the median justice might vary by issue area (Lauderdale and Clark 2012)

    • the power of the unidimensional explanation tends to be lower outside the US context

Economic explanations

Economic explanations

  • judges are self-interested agents who want to maximize their utility

  • on the one hand, judges care about reputation, salary, career progress and personal satisfaction

  • on the other hand, judges care about having free time

Economic explanations

Economic explanations

Economic explanations

Cognitive explanations

Cognitive explanations

  • less fully formed theories of decision-making and more studies of various types of cognitive ‘biases’

  • people are only boundedly rational and instead of conducting strictly rational calculations rely on (biased) heuristics

  • there are a number of common cognitive heuristics, e.g. anchoring, framing, hindsight bias, which have been shown to affect judges (Guthrie, Rachlinski, and Wistrich 2001; Guthrie, Rachlinski, and Wistrich 2002)

Cognitive explanations

Anchoring: an initial value influences one’s perception of a reasonable estimate of a value.

  • Guthrie, Rachlinski, and Wistrich (2001) ask judges to award damages in a personal injury case – those exposed to an irrelevant low number awarded 30% less in damages on average

  • “municipal court judges fined a nightclub three times as much when its name (after its street address) was Club 11,866 rather than Club 58” (Jeffrey J. Rachlinski and Wistrich 2017)

Cognitive explanations

Framing: categorization of decision options as more or less positive. Most people are risk-averse when looking at potential gains and risk-seeking when choosing between options representing losses.

Cognitive explanations

Cognitive explanations

Legally irrelevant information influences how judges decide (Wistrich, Guthrie, and Rachlinski 2005).

References

Ash, Elliott, Sam Asher, Aditi Bhowmick, Sandeep Bhupatiraju, Daniel Chen, Tanaya Devi, Christoph Goessmann, Paul Novosad, and Bilal Siddiqi. 2025. “In-Group Bias in the Indian Judiciary: Evidence from 5 Million Criminal Cases.” The Review of Economics and Statistics, March, 1–45. https://doi.org/10.1162/rest_a_01569.
Ash, Elliott, and W. Bentley MacLeod. 2015. “Intrinsic Motivation in Public Service: Theory and Evidence from State Supreme Courts.” The Journal of Law and Economics 58 (4): 863–913. http://www.journals.uchicago.edu/doi/abs/10.1086/684293.
Braman, Eileen, and Thomas E. Nelson. 2007. “Mechanism of Motivated Reasoning? Analogical Perception in Discrimination Disputes.” American Journal of Political Science 51 (4): 940–56. https://doi.org/10.1111/j.1540-5907.2007.00290.x.
Cameron, Charles M., and Jee-Kwang Park. 2009. “How Will They Vote? Predicting the Future Behavior of Supreme Court Nominees, 1937-2006.” Journal of Empirical Legal Studies 6 (3): 485–511. https://doi.org/10.1111/j.1740-1461.2009.01151.x.
Clark, Tom S., Benjamin G. Engst, and Jeffrey K. Staton. 2018. “Estimating the Effect of Leisure on Judicial Performance.” The Journal of Legal Studies 47 (2): 349–90. https://doi.org/10.1086/699150.
Dietrich, Bryce J., Ryan D. Enos, and Maya Sen. 2019. “Emotional Arousal Predicts Voting on the U.S. Supreme Court.” Political Analysis 27 (2): 237–43. https://doi.org/10.1017/pan.2018.47.
Engel, Christoph, and Keren Weinshall. 2020. “Manna from Heaven for Judges: Judges Reaction to a Quasi-Random Reduction in Caseload.” Journal of Empirical Legal Studies 17 (4): 722–51. https://doi.org/10.1111/jels.12265.
Engel, Christoph, and Lilia Zhurakhovska. 2017. “You Are in Charge: Experimentally Testing the Motivating Power of Holding a Judicial Office.” The Journal of Legal Studies 46 (1): 1–50. https://doi.org/10.1086/691630.
Gibson, James L. 1983. “From Simplicity to Complexity: The Development of Theory in the Study of Judicial Behavior.” Political Behavior 5 (1): 7–49. https://doi.org/10.1007/BF00989985.
Grossman, Guy, Oren Gazal-Ayal, Samuel D. Pimentel, and Jeremy M. Weinstein. 2016. “Descriptive Representation and Judicial Outcomes in Multiethnic Societies.” American Journal of Political Science 60 (1): 44–69. https://doi.org/10.1111/ajps.12187.
Guthrie, Chris, Jeffrey J. Rachlinski, and Andrew J. Wistrich. 2001. “Inside the Judicial Mind.” Cornell Law Review 86: 777–830.
Guthrie, Chris, Jeffrey J Rachlinski, and Andrew J Wistrich. 2002. “Judging by Heuristic-Cognitive Illusions in Judicial Decision Making.” Judicature 86: 44.
Kahan, Dan M., David Hoffman, Danieli Evans, Neal Devins, Eugene Lucci, and Katherine Cheng. 2015. “Ideology or Situation Sense: An Experimental Investigation of Motivated Reasoning and Professional Judgment.” University of Pennsylvania Law Review 164 (2): 349–440. https://heinonline.org/HOL/P?h=hein.journals/pnlr164&i=361.
Kantorowicz-Reznichenko, Elena, Jarosław Kantorowicz, and Keren Weinshall. 2022. “Ideological Bias in Constitutional Judgments: Experimental Analysis and Potential Solutions.” Journal of Empirical Legal Studies 19 (3): 716–57. https://doi.org/10.1111/jels.12323.
Lauderdale, Benjamin E., and Tom S. Clark. 2012. “The Supreme Court’s Many Median Justices.” American Political Science Review 106 (4): 847–66. https://doi.org/10.1017/S0003055412000469.
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Rachlinski, Jeffrey J., Chris Guthrie, and Andrew J. Wistrich. 2006. “Inside the Bankruptcy Judge’s Mind Symposium: The Role of the Judge in the Twenty-First Century.” Boston University Law Review 86 (5): 1227–66. https://heinonline.org/HOL/P?h=hein.journals/bulr86&i=1239.
Rachlinski, Jeffrey J, and Andrew J Wistrich. 2017. “Judging the Judiciary by the Numbers: Empirical Research on Judges.” Annual Review of Law and Social Science 13: 203–29.
Ramseyer, J. Mark. 2001. “Why Are Japanese Judges So Conservative in Politically Charged Cases?” American Political Science Review 95 (2): 331–44. https://doi.org/10.1017/S0003055401002040.
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Skiple, Jon Kåre, Henrik Litleré Bentsen, and Mark Jonathan McKenzie. 2021. “How Docket Control Shapes Judicial Behavior: A Comparative Analysis of the Norwegian and Danish Supreme Courts.” Journal of Law and Courts 9 (1): 111–36. https://doi.org/10.1086/712654.
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Weinshall-Margel, Keren. 2011. “Attitudinal and Neo-Institutional Models of Supreme Court Decision Making: An Empirical and Comparative Perspective from Israel.” Journal of Empirical Legal Studies 8 (3): 556–86. https://doi.org/10.1111/j.1740-1461.2011.01220.x.
Wistrich, Andrew J., Chris Guthrie, and Jeffrey J. Rachlinski. 2005. “Can Judges Ignore Inadmissible Information? The Difficulty of Deliberately Disregarding.” University of Pennsylvania Law Review 153: 1251–1345.
Wistrich, Andrew J., Jeffrey J. Rachlinski, and Chris Guthrie. 2014. “Heart versus Head: Do Judges Follow the Law of Follow Their Feelings.” Texas Law Review 93: 855–924.