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Predicting Supreme Court Cases Probabilistically: The Search and Seizure Cases, 1962-1981

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  • Segal, Jeffrey A.

Abstract

The overwhelming concensus of Fourth Amendment scholars is that the Supreme Court's sea and seizure cases are a mess. This article proposes that the confusion arises from the manner in which the cases were studied, not from the decisions themselves. A legal model with variables that me the prior justification of the search, the nature of the intrusion, and a few mitigating circumstance used to explain the Court's decisions on the reasonableness of a given search or seizure. The parameters are estimated through probit.The results show that the search and seizure cases are much more ordered than had commonly been believed. Virtually all of the estimates are as expected. Additionally, the Court is shown to act favorably toward the federal government than toward the states. Preliminary analysis suggests the model has predictive as well as explanatory value.

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  • Segal, Jeffrey A., 1984. "Predicting Supreme Court Cases Probabilistically: The Search and Seizure Cases, 1962-1981," American Political Science Review, Cambridge University Press, vol. 78(4), pages 891-900, December.
    • Handle: RePEc:cup:apsrev:v:78:y:1984:i:04:p:891-900_25
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    Cited by:

    1. Anthony Niblett & Richard A. Posner & Andrei Shleifer, 2010. "The Evolution of a Legal Rule," The Journal of Legal Studies, University of Chicago Press, vol. 39(2), pages 325-358.
    2. Greg Goelzhauser, 2024. "Constitutional accountability for police shootings," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 21(1), pages 92-108, March.
    3. Jonathan P. Kastellec & Jeffrey R. Lax, 2008. "Case Selection and the Study of Judicial Politics," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 5(3), pages 407-446, September.
    4. Jeff Yates & Damon M. Cann & Brent D. Boyea, 2013. "Judicial Ideology and the Selection of Disputes for U.S. Supreme Court Adjudication," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(4), pages 847-865, December.
    5. Niblett, Anthony, 2013. "Tracking inconsistent judicial behavior," International Review of Law and Economics, Elsevier, vol. 34(C), pages 9-20.
    6. Charles M. Cameron & Lewis A. Kornhauser, 2017. "Rational choice attitudinalism?," European Journal of Law and Economics, Springer, vol. 43(3), pages 535-554, June.
    7. Jonathan P. Kastellec, 2010. "The Statistical Analysis of Judicial Decisions and Legal Rules with Classification Trees," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 7(2), pages 202-230, June.
    8. JBrandon Duck-Mayr, 2022. "Explaining legal inconsistency," Journal of Theoretical Politics, , vol. 34(1), pages 107-126, January.
    9. Qiang Zhao & Rundong Guo & Xiaowei Feng & Weifeng Hu & Siwen Zhao & Zihan Wang & Yujun Li & Yewen Cao, 2022. "Research on a Decision Prediction Method Based on Causal Inference and a Multi-Expert FTOPJUDGE Mechanism," Mathematics, MDPI, vol. 10(13), pages 1-22, June.
    10. David Gliksberg, 2014. "Does the Law Matter? Win Rates and Law Reforms," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 11(2), pages 378-407, June.

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