{"title":"The causal impact of bail on case outcomes for indigent defendants in New York City","authors":"K. Lum, Erwin Ma, M. Baiocchi","doi":"10.1353/obs.2017.0007","DOIUrl":null,"url":null,"abstract":"Abstract:It has long been observed that defendants who are subject to pre-trial detention are more likely to be convicted than those who are free while they await trial. However, until recently, much of the literature in this area was only correlative and not causal. Using an instrumental variable that represents judge severity, we apply near-far matching–a statistical methodology designed to assess causal relationships using observational data–to a dataset of criminal cases that were handled by the New York Legal Aid Society in 2015. We find a strong causal relationship between bail–an obstacle that prevents many from pre-trial release–and case outcome. Specifically, we find setting bail results in a 34% increase in the likelihood of conviction for the cases in our analysis. To our knowledge, this marks the first time matching methodology from the observational studies tradition has been applied to understand the relationship between money bail and the likelihood of conviction.","PeriodicalId":74335,"journal":{"name":"Observational studies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1353/obs.2017.0007","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Observational studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1353/obs.2017.0007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract:It has long been observed that defendants who are subject to pre-trial detention are more likely to be convicted than those who are free while they await trial. However, until recently, much of the literature in this area was only correlative and not causal. Using an instrumental variable that represents judge severity, we apply near-far matching–a statistical methodology designed to assess causal relationships using observational data–to a dataset of criminal cases that were handled by the New York Legal Aid Society in 2015. We find a strong causal relationship between bail–an obstacle that prevents many from pre-trial release–and case outcome. Specifically, we find setting bail results in a 34% increase in the likelihood of conviction for the cases in our analysis. To our knowledge, this marks the first time matching methodology from the observational studies tradition has been applied to understand the relationship between money bail and the likelihood of conviction.
摘要:长期以来,人们一直观察到,在候审期间被羁押的被告比被羁押的被告更容易被定罪。然而,直到最近,这一领域的许多文献都只是相关的,而不是因果的。我们使用代表法官严厉程度的工具变量,对纽约法律援助协会(New York Legal Aid Society) 2015年处理的刑事案件数据集应用了近距离匹配(near-far matching)——一种旨在利用观察数据评估因果关系的统计方法。我们发现保释(一个阻碍许多人审前释放的障碍)与案件结果之间存在很强的因果关系。具体来说,我们发现在我们的分析中,保释会使案件定罪的可能性增加34%。据我们所知,这标志着观察研究传统的匹配方法首次被应用于理解保释金与定罪可能性之间的关系。