UNCERTAINTY REVISITED: LEGAL PREDICTION AND LEGAL POSTDICTION

被引:1
|
作者
Guttel, Ehud [1 ]
Harel, Alon [1 ]
机构
[1] Hebrew Univ Jerusalem, Fac Law, Jerusalem, Israel
关键词
D O I
暂无
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
Legal scholarship, following rational-choice theory, has traditionally treated uncertainty as a single category. A large body of experimental studies, however; has established that individuals treat guesses concerning the future differently than guesses concerning the past. Even where objective probabilities and payoffs art, identical, individuals are much more willing to predict a future event (and are more confident in the accuracy of their predictions) than they are willing to postdict a past event (and are also less confident in the accuracy of their postdiction). For example, individuals are more willing to bet on the results of a future die toss than they are willing to bet on the results of a past toss. After presenting the robust psychological and experimental-economic literature, this Article demonstrates the relevance of the behavioral differences concerning past and future uncertainties to legal policy It shows that the prediction-postdiction findings important for the design of legal norms, the choice among competing law-enforcement strategies, and the application of various sentencing practices. This Article shows that the making of le gal norms, the detection of violators, and the infliction of sanctions may generate different types of uncertainty involving predictions and postdictions that policymakers can exploit to provide optimal incentives.
引用
收藏
页码:467 / 499
页数:33
相关论文
共 50 条
  • [31] The Surexit Memorandum Revisited: Legal Writing and Legal Process in Ninth-Century Wales
    Eska, Charlene M.
    Wolf, Joe
    CAMBRIAN MEDIEVAL CELTIC STUDIES, 2020, (79): : 19 - 36
  • [32] Charge Prediction with Legal Attention
    Bao, Qiaoben
    Zan, Hongying
    Gong, Peiyuan
    Chen, Junyi
    Xiao, Yanghua
    NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING (NLPCC 2019), PT I, 2019, 11838 : 447 - 458
  • [33] Scalable and explainable legal prediction
    L. Karl Branting
    Craig Pfeifer
    Bradford Brown
    Lisa Ferro
    John Aberdeen
    Brandy Weiss
    Mark Pfaff
    Bill Liao
    Artificial Intelligence and Law, 2021, 29 : 213 - 238
  • [34] Scalable and explainable legal prediction
    Branting, L. Karl
    Pfeifer, Craig
    Brown, Bradford
    Ferro, Lisa
    Aberdeen, John
    Weiss, Brandy
    Pfaff, Mark
    Liao, Bill
    ARTIFICIAL INTELLIGENCE AND LAW, 2021, 29 (02) : 213 - 238
  • [35] Naturalized Jurisprudence and American Legal Realism Revisited
    Brian Leiter
    Law and Philosophy, 2011, 30 : 499 - 516
  • [36] Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information
    Liu, Liting
    Zhang, Wenzheng
    Liu, Jie
    Shi, Wenxuan
    Huang, Yalou
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [37] Naturalized Jurisprudence and American Legal Realism Revisited
    Leiter, Brian
    LAW AND PHILOSOPHY, 2011, 30 (04) : 499 - 516
  • [38] 8.1.1 Systems Engineering and the Legal Profession – Revisited
    Computer Sciences Corporation, 7700 Hubble Drive, Lanham-Seabrook
    MD
    20706, United States
    INCOSE International Symposium, 2000, 10 (01) : 108 - 119
  • [39] THE ORIGIN OF THE MEDIEVAL FRENCH LEGAL REGISTER REVISITED
    Schauwecker, Yela
    NEUPHILOLOGISCHE MITTEILUNGEN, 2017, 118 (02) : 469 - 488
  • [40] Optimal legal standards for competition policy revisited
    Seifert, Jacob
    ECONOMICS LETTERS, 2020, 194