同而异:法官属性对司法决策和量刑结果的交互作用

Q2 Social Sciences
Sarah Gansen
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引用次数: 0

摘要

在本文中,我考虑法官的某些属性,最重要的是,这些特征的相互作用是否会影响法官判决案件的方式,并可以解释量刑结果的差异。使用监督机器学习技术,分析揭示了一些在现有文献中没有讨论过的重要影响。结果表明,由共和党州长任命的法官最有可能对所有罪行做出更严厉的判决,尤其是重罪和暴力犯罪。对于涉及高度道德败坏的犯罪,法官会随着年龄的增长而变得更加严厉,男性比女性更严厉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The same, but different: The interactive effect of attributes of judges on judicial decision making and sentencing outcomes

In this article, I consider whether certain attributes of a judge and, most importantly, the interaction effects of these characteristics affect the way judges decide cases and can explain disparities in sentencing outcomes. Using a supervised machine learning technique, the analysis uncovers some important effects not previously discussed in the extant literature. The results suggest that judges appointed by Republican Governors are most likely to give harsher sentences for all crimes but especially for felony and violent offences. Concerning crimes involving a high level of moral turpitude, judges get harsher as they age and men much more so than women.

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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
41
期刊介绍: The Howard Journal of Crime and Justice is an international peer-reviewed journal committed to publishing high quality theory, research and debate on all aspects of the relationship between crime and justice across the globe. It is a leading forum for conversation between academic theory and research and the cultures, policies and practices of the range of institutions concerned with harm, security and justice.
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