Abstract
The authors analyze death penalty charging data for Los Angeles County involving homicides from 1990 to 1994. The data were collected by the Los Angeles Times. This data set is one of the largest tabulations of homicide defendant data yet collected. A Bayesian logistic regression analysis is applied with a proper prior formulated to provide conservative inferences. The authors illustrate procedures for inferences for polytomous predictors and report three analyses with three partially overlapping sets of covariates.
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