2 datasets found
  1. Replication data for: A Test of Racial Bias in Capital Sentencing

    • openicpsr.org
    Updated Nov 1, 2014
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    Alberto Alesina; Eliana La Ferrara (2014). Replication data for: A Test of Racial Bias in Capital Sentencing [Dataset]. http://doi.org/10.3886/E112702V1
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    Dataset updated
    Nov 1, 2014
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Alberto Alesina; Eliana La Ferrara
    Description

    We collect a new dataset on capital punishment in the US and we propose a test of racial bias based upon patterns of sentence reversals. We model the courts as minimizing type I and II errors. If trial courts were unbiased, conditional on defendants race the error rate should be independent of the victims race. Instead we uncover 3 and 9 percentage points higher reversal rates in Direct Appeal and Habeas Corpus cases, respectively, against minority defendants who killed whites. The pattern for white defendants is opposite but not statistically significant. This bias is confined to Southern States.

  2. Number, percentage and rate of homicide victims, by racialized identity...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +3more
    Updated Jul 25, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Number, percentage and rate of homicide victims, by racialized identity group, gender and region [Dataset]. http://doi.org/10.25318/3510020601-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Alberto Alesina; Eliana La Ferrara (2014). Replication data for: A Test of Racial Bias in Capital Sentencing [Dataset]. http://doi.org/10.3886/E112702V1
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Replication data for: A Test of Racial Bias in Capital Sentencing

Related Article
Explore at:
Dataset updated
Nov 1, 2014
Dataset provided by
American Economic Associationhttp://www.aeaweb.org/
Authors
Alberto Alesina; Eliana La Ferrara
Description

We collect a new dataset on capital punishment in the US and we propose a test of racial bias based upon patterns of sentence reversals. We model the courts as minimizing type I and II errors. If trial courts were unbiased, conditional on defendants race the error rate should be independent of the victims race. Instead we uncover 3 and 9 percentage points higher reversal rates in Direct Appeal and Habeas Corpus cases, respectively, against minority defendants who killed whites. The pattern for white defendants is opposite but not statistically significant. This bias is confined to Southern States.

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