This paper explores the usefulness of robust Bayesian analysis in the context of an applied problem, finding priors to model judicial neutrality in an age discrimination case. We seek large classes of prior distributions without trivial bounds on the posterior probability of a key set, that is, without bounds that are independent of the data. Such an exploration shows qualitatively where the prior elicition matters most, and qualitatively how sensitive the conclusions are to specified prior changes.
Keywords. discrimination, elicitation, law, linearization, moment problem
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Luis Raul Pericchi
|Joseph B. Kadane||none|
|Maria Eglee Perez||none|
|Luis Raul Pericchifirstname.lastname@example.org|