A Test of Racial Bias in Capital Sentencing

By A. Alesina, Eliana La Ferrara. 2014

196 citations recorded by the source corpus.

We propose a test of bias based upon patterns of judicial errors. We model the trial court as minimizing a weighted sum of type I and II errors. We define racial bias a situation where the weight depends on defendant/victim race. If the court is unbiased, the error rate should be independent of the combination defendant/victim race. We test this prediction using an original dataset on all capital appeals in 1973-1995. We find that in the first and last stage of appeal the probability of error is 3 and 9 percentage points higher for minority defendants who killed white (vs. minority) victims.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6cef6d14e41b1f270b7b54df48b431690d4f0e21

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In Economics and Econometrics

  1. Alma Cohen
  2. Devin G. Pope
  3. Crystal S. Yang

In Sociology and Political Science

  1. Alma Cohen
  2. Devin G. Pope
  3. Crystal S. Yang

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