Abstract
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.
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Raymond Paternoster provided us with the data on which this paper is based and made a number of very helpful suggestions on a earlier draft of this paper. We very much appreciate both. The research was supported by a grant from the National Institute of Justice.
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Berk, R., Li, A. & Hickman, L.J. Statistical Difficulties in Determining the Role of Race in Capital Cases: A Re-analysis of Data from the State of Maryland*. J Quant Criminol 21, 365–390 (2005). https://doi.org/10.1007/s10940-005-7354-7
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DOI: https://doi.org/10.1007/s10940-005-7354-7