Statistical difficulties in determining the role of race in capital cases: A re-analysis of data from the state of Maryland

被引：36

作者：

Berk, R

Li, A

Hickman, L

机构：

[1] Dept Stat, Los Angeles, CA 90095 USA

[2] RAND Corp, Santa Monica, CA 90401 USA

来源：

JOURNAL OF QUANTITATIVE CRIMINOLOGY | 2005年 / 21卷 / 04期

关键词：

race; death penalty; logistic regression; propensity scores; classification and regression trees; random forests;

D O I：

10.1007/s10940-005-7354-7

中图分类号：

DF [法律]; D9 [法律];

学科分类号：

0301 ;

摘要：

In this paper, we re-analyze data used to study the role of race in capital cases in the state of Maryland. We show that when alternative, and arguably more appropriate, statistical procedures are applied, the racial effects reported in early work turn out to be very fragile. The methodological point is more general: conventional causal modeling with observational data is not likely to produce robust results for a variety of criminal justice applications.

引用

页码：365 / 390

页数：26

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