The manager and the working group
In: Praeger special studies
In: Praeger scientific
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In: Praeger special studies
In: Praeger scientific
In: Public administration and public policy 19
In: Winthrop Foundations of public management series
On average, the government detained a daily population of 19,416 noncitizens in fiscal year 2021. Of the 22,712 bond hearings immigration courts held during this same period, judges denied bond in sixty-nine percent of the cases. Despite the fact that many of these individuals could spend months or even years in detention, the decision of whether to detain belongs exclusively to the Executive Branch, and usually a single immigration judge, without opportunity for judicial review. Consequently, the lack of opportunity to contest the immigration judges' decisions in federal court has in part led to the prolonged detention of thousands of noncitizens by the United States government who are otherwise eligible for release. This Note demonstrates that the current detention scheme, including bond hearings, disadvantages noncitizens by presuming and favoring detention. Consequently, this Note argues that to ensure a fair bond hearing and reduce the number of detained noncitizens, Congress should permit federal review of immigration judges' discretionary custody decisions by repealing the jurisdiction stripping statute of 8 U.S.C. § 1226(e).
BASE
In: Public management: PM, Band 88, Heft 6, S. 43-45
ISSN: 0033-3611
In: Administration & society, Band 10, Heft 1, S. 107-109
ISSN: 1552-3039
In: The American review of public administration: ARPA, Band 4, Heft 2, S. 71-80
ISSN: 1552-3357
In: American journal of international law: AJIL, Band 26, Heft 4, S. 930-930
ISSN: 2161-7953
In: Journal of the Royal United Service Institution, Band 13, Heft 55, S. 326-336
ISSN: 1744-0378
In: Decision sciences, Band 30, Heft 1, S. 197-216
ISSN: 1540-5915
ABSTRACTEconometric methods used in foreign exchange rate forecasting have produced inferior out‐of‐sample results compared to a random walk model. Applications of neural networks have shown mixed findings. In this paper, we investigate the potentials of neural network models by employing two cross‐validation schemes. The effects of different in‐sample time periods and sample sizes are examined. Out‐of‐sample performance evaluated with four criteria across three forecasting horizons shows that neural networks are a more robust forecasting method than the random walk model. Moreover, neural network predictions are quite accurate even when the sample size is relatively small.
In: Administrative Science Quarterly, Band 29, Heft 3, S. 475
In: Administration & society, Band 8, Heft 2, S. 147-148
ISSN: 1552-3039
In: Public administration review: PAR, Band 33, Heft 5, S. 464
ISSN: 1540-6210
In: Public administration review: PAR, Band 32, Heft 1, S. 11
ISSN: 1540-6210