A Test of Racial Bias in Capital Sentencing
AbstractThis paper proposes a test of racial bias in capital sentencing based upon patterns of judicial errors in lower courts. We model the behavior of the trial court as minimizing a weighted sum of the probability of sentencing an innocent and that of letting a guilty defendant free. We define racial bias as a situation where the relative weight on the two types of errors is a function of defendant and/or victim race. The key prediction of the model is that if the court is unbiased, ex post the error rate should be independent of the combination of defendant and victim race. We test this prediction using an original dataset that contains the race of the defendant and of the victim(s) for all capital appeals that became final between 1973 and 1995. We find robust evidence of bias against minority defendants who killed white victims: in Direct Appeal and Habeas Corpus the probability of error in these cases is 3 and 9 percentage points higher, respectively, than for minority defendants who killed minority victims.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 8363.
Date of creation: Apr 2011
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Find related papers by JEL classification:
- J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
- K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
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- Grossman, Gene M & Katz, Michael L, 1983. "Plea Bargaining and Social Welfare," American Economic Review, American Economic Association, vol. 73(4), pages 749-57, September.
- Kate Antonovics & Brian G. Knight, 2009.
"A New Look at Racial Profiling: Evidence from the Boston Police Department,"
The Review of Economics and Statistics,
MIT Press, vol. 91(1), pages 163-177, February.
- Kate L. Antonovics & Brian G. Knight, 2004. "A New Look at Racial Profiling: Evidence from the Boston Police Department," NBER Working Papers 10634, National Bureau of Economic Research, Inc.
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