A Test of Racial Bias in Capital Sentencing

Working Paper: NBER ID: w16981

Authors: Alberto F. Alesina; Eliana La Ferrara

Abstract: 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.

Keywords: racial bias; capital sentencing; judicial errors

JEL Codes: K42


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Racial bias in capital sentencing (J15)Higher error rates for minority defendants killing white victims (J15)
Defendant and victim races (J15)Error rates in judicial decisions (K40)
Minority defendants with white victims (J15)Higher error rate compared to minority defendants with non-white victims (J15)
Judicial process being unbiased (K40)Error rate independent of combination of defendant and victim races (J79)
Higher courts do not make mistakes (K40)Observed errors in lower courts attributed to bias (K40)

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