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Jurimetrics

Jurimetrics is the application of quantitative methods, and often especially probability and statistics, to law.[1] In the United States, the journal Jurimetrics is published by the American Bar Association and Arizona State University.[2] The Journal of Empirical Legal Studies is another publication that emphasizes the statistical analysis of law.

Not to be confused with Jurimetrics (journal).

The term was coined in 1949 by Lee Loevinger in his article "Jurimetrics: The Next Step Forward".[1][3] Showing the influence of Oliver Wendell Holmes Jr., Loevinger quoted[4] Holmes' celebrated phrase that:


The first work on this topic is attributed to Nicolaus I Bernoulli in his doctoral dissertation De Usu Artis Conjectandi in Jure, written in 1709.

Bayesian inference

Causal inference

Instrumental variables

Design of experiments

epidemiological studies

Generalized linear models

Ordinary least squares

Meta-analysis

Probability distributions

Binomial distribution

Survival analysis

Kaplan-Meier estimator

Sensitivity is equal to the , where is the type II error rate

statistical power

Specificity is equal to , where is the

type I error rate

Jurimetrics and law and economics[edit]

The difference between jurimetrics and law and economics is that jurimetrics investigates legal questions from a probabilistic/statistical point of view, while law and economics addresses legal questions using standard microeconomic analysis. A synthesis of these fields is possible through the use of econometrics (statistics for economic analysis) and other quantitative methods to answer relevant legal matters. As an example, the Columbia University scholar Edgardo Buscaglia published several peer-reviewed articles by using a joint jurimetrics and law and economics approach.[39][40]

Bayesian inference

Computational criminology

Disparate impact#Statistical criticism of disparate impact

Forensic statistics

Law and economics

Quantitative methods in criminology

Daubert standard

Simpson's paradox#UC Berkeley gender bias

Survival analysis

Angrist, Joshua D.; Pischke, Jörn-Steffen (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton, NJ: Princeton University Press.  9780691120355.

ISBN

Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P.T.; Rothstein, Hannah R. (2009). Introduction to Meta-Analysis. Hoboken, NJ: John Wiley & Sons.  9780470057247.

ISBN

Finkelstein, Michael O.; Levin, Bruce (2015). Statistics for Lawyers. Statistics for Social and Behavioral Sciences (3rd ed.). New York, NY: Springer.  9781441959843.

ISBN

Hosmer, David W.; Lemeshow, Stanley; May, Susanne (2008). Applied Survival Analysis: Regression Modeling of Time-to-Event Data. Wiley-Interscience (2nd ed.). Hoboken, NJ: John Wiley & Sons.  9780471754992.

ISBN

McCullagh, Peter; Nelder, John A. (1989). Generalized Linear Models. Monographs on Statistics and Applied Probability (2nd ed.). Boca Raton, FL: Chapman & Hall/CRC.  9780412317606.

ISBN

Bernoulli (1709). The use of the Art of conjecturing in Law.

Kadane, J.B. (2006). Misuse of Bayesian Statistics in Court, CHANCE, 19, 2, 38-40.

Stern & Kadane (2014). Compensating for the loss of a chance. Department of Statistics, Carnegie Mellon University.

Jurimetrics, The Journal of Law, Science, and Technology

Journal of Empirical Legal Studies