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Should Legal Empiricists Go Bayesian?

Jeff Strnad

Stanford Law School

May 2007

Stanford Law and Economics Olin Working Paper No. 342

Bayesian empirical approaches appear frequently in fields such as engineering, computer science, political science and medicine, but almost never in law. This article illustrates how such approaches might be very useful in empirical legal studies. In particular, Bayesian approaches enable a much more natural connection between the normative or positive issues that typically motivate such studies and the empirical results.

Number of Pages in PDF File: 111

Keywords: Bayesian analysis, right-to-carry, Bayesian model averaging, model, comparison, model selection, model specification, hypothesis testing, BIC, prior elicitation, prior sensitivity, conditional maximum, likelihood criterion, CML, maximum marginal likelihood criterion, MML, g-prior, natural conjugate

JEL Classification: C10, C11, C12, C15, C23, C52, K14

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Date posted: June 5, 2007  

Suggested Citation

Strnad, Jeff, Should Legal Empiricists Go Bayesian? (May 2007). Stanford Law and Economics Olin Working Paper No. 342. Available at SSRN: http://ssrn.com/abstract=991335 or http://dx.doi.org/10.2139/ssrn.991335

Contact Information

James (Jeff) Frank Strnad (Contact Author)
Stanford Law School ( email )
559 Nathan Abbott Way
Stanford, CA 94305-8610
United States
650-723-9674 (Phone)
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References:  52
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