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Predicting Danger in Immigration Courts

Published online by Cambridge University Press:  11 March 2019

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Abstract

Every year, the US government detains thousands of noncitizens in removal proceedings on the basis that they might pose a threat to public safety if released during the pendency of their removal proceedings. Using original audio recording data on immigration bond hearings, this study examines immigration judges’ determinations regarding which noncitizens pose a danger to the community. My multivariate analysis that controls for a variety of detainee background characteristics and criminal-conviction-related measures produced three main findings. First, I find that Central Americans are more likely to be deemed dangerous than non-Central Americans. Second, I find that detainees with attorneys are less likely to be deemed dangerous than pro se detainees. Finally, my analysis shows that whereas felony and violent convictions are associated with higher odds of being deemed dangerous, the recency of criminal convictions and the total number of convictions are not predictive of danger determinations. Together, these findings provide new insights into the socio-legal construction of immigrant criminality.

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Articles
Copyright
Copyright © 2019 American Bar Foundation 
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Figure 1. Removal Proceedings in US Immigration Courts by Origin Country, Fiscal Year 2005–2015

Note: Mexico, Central America, and Other sum to 100 percent in each fiscal year.Source: TRAC (2017).
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Figure 2. Removal Proceedings in LA Immigration Court by Origin Country, Fiscal Year 2005–2015

Note: Mexico, Central America, and Other sum to 100 percent in each fiscal year.Source: TRAC (2017).
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Figure 3. News Articles on El Salvador, Guatemala, Honduras, and Mexico that Contain Violence-Related Words, 2013–2014

Note: Each bar in Figure 3 represents a percentage of all published news articles mentioning a given country that contained at least one violence-related word. For detailed information on the search strategy and results, see Appendix A.Source: Los Angeles Times (2013–2014).
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Table 1. Descriptive and Bivariate Statistics for Variables Used in Analysis of Danger Determinations

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Table 2. Results from Logistic Regression Models of Danger Determinations

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Table 3. Criminal History of Central Americans vs. Non-Central Americans

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Table 4. Criminal History of Represented vs. Unrepresented

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Table A. Los Angeles Times News Article Search Terms and Results

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a Description of Measures Used in the Bivariate and Multivariate Analyses