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Consensus, Disorder, and Ideology on the Supreme Court

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  • Paul H. Edelman
  • David E. Klein
  • Stefanie A. Lindquist

Abstract

Ideological models are widely accepted as the basis for many academic studies of the Supreme Court because of their power in predicting the justices' decision‐making behavior. Not all votes are easily explained or well predicted by attitudes, however. Consensus in Supreme Court voting, particularly the extreme consensus of unanimity, has often puzzled Court observers who adhere to ideological accounts of judicial decision making. Are consensus and (ultimately) unanimity driven by extreme factual scenarios or extreme lower court rulings such that even the most liberal and most conservative justice can agree on the case disposition? Or are they driven by other, nonattitudinal influences on judicial decisions? In this article, we rely on a measure of deviations from expected ideological patterns in the justices' voting to assess whether ideological models provide an adequate explanation of consensus on the Court. We find that case factors that predict voting disorder also predict consensus. Based on that finding, we conclude that consensus on the Court cannot be explained by ideology alone; rather, it often results from ideology being outweighed by other influences on justices' decisions.

Suggested Citation

  • Paul H. Edelman & David E. Klein & Stefanie A. Lindquist, 2012. "Consensus, Disorder, and Ideology on the Supreme Court," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 9(1), pages 129-148, March.
  • Handle: RePEc:wly:empleg:v:9:y:2012:i:1:p:129-148
    DOI: 10.1111/j.1740-1461.2011.01249.x
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    1. Tomz, Michael & Wittenberg, Jason & King, Gary, 2003. "Clarify: Software for Interpreting and Presenting Statistical Results," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i01).
    2. Brian Goff, 2005. "Supreme Court consensus and dissent: Estimating the role of the selection screen," Public Choice, Springer, vol. 122(3), pages 483-499, March.
    3. Martin, Andrew D. & Quinn, Kevin M., 2002. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999," Political Analysis, Cambridge University Press, vol. 10(2), pages 134-153, April.
    4. Tate, C. Neal, 1981. "Personal Attribute Models of the Voting Behavior of U.S. Supreme Court Justices: Liberalism in Civil Liberties and Economics Decisions, 1946–1978," American Political Science Review, Cambridge University Press, vol. 75(2), pages 355-367, June.
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    Cited by:

    1. Matej Avbelj & Janez Šušteršič, 2019. "Conceptual Framework and Empirical Methodology for Measuring Multidimensional Judicial Ideology," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 2, pages 129-159, June.
    2. Nuno Garoupa & Laura Salamero-Teixidó & Adrián Segura, 2022. "Disagreeing in private or dissenting in public: an empirical exploration of possible motivations," European Journal of Law and Economics, Springer, vol. 53(2), pages 147-173, April.

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