Statistical Difficulties in Determining the Role of Race in Capital Cases: A Re-analysis of Data from the State of Maryland*

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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 poin...

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Detalles Bibliográficos
Autor principal: Berk, Richard (Autor)
Otros Autores: Li, Azusa ; Hickman, Laura J.
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2005
En: Journal of quantitative criminology
Año: 2005, Volumen: 21, Número: 4, Páginas: 365-390
Acceso en línea: Presumably Free Access
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Palabras clave:
Random forests
classification and regression trees
Propensity scores
Logistic regression
Death Penalty
Race
Descripción
Sumario: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.
ISSN:1573-7799
DOI:10.1007/s10940-005-7354-7