The Heavy Costs of High Bail: Evidence from Judge Randomization
By Arpita Gupta, Christopher Hansman, Ethan Frenchman. 2016
135 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Lars Lefgren
- Brigham R. Frandsen
- Emily Leslie
- Bo Cowgill
- M. D. Cattaneo
- Michael J. Kolesar
- Jing Jian Xiao
- Christoph Rothe
In Sociology and Political Science
- Lars Lefgren
- Brigham R. Frandsen
- Emily Leslie
- Bo Cowgill
- Madars Virza
- Karthik Dinakar
- Chelsea Barabas
- Joichi Ito
Citations in the corpus
- Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment (2017, background): “al show that high bail amounts, which often result in pretrial detention, drive a rise in long-term recidivism rates [32].”
- The Impact of Algorithms on Judicial Discretion : Evidence from Regression Discontinuities (2018, background): “Several recent papers (Gupta et al., 2016; Stevenson, 2017b; Leslie and Pope, 2017; Dobbie et al., 2018; Didwania, 2018) use judge leniency instruments to examine the causal effect of pretrial detention on trial outcomes.”
- NBER WORKING PAPER SERIES THE EFFECTS OF PRE-TRIAL DETENTION ON CONVICTION, FUTURE CRIME, AND EMPLOYMENT: EVIDENCE FROM RANDOMLY ASSIGNED JUDGES (2016, unknown): “[26] Gupta, Arpit, Christopher Hansman, and Ethan Frenchman.”
- Racial Bias in Bail Decisions ⇤ (2018, unknown): “[49] Gupta, Arpit, Christopher Hansman, and Ethan Frenchman.”
- Judging Judge Fixed Effects (2019, methodology): “…of our average monotonicity assumption, we check that the first-stage coefficient is positive within subsamples defined by case and defendant characteristics (see Tables 4 and 5), an approach used in several papers in the literature (Gupta et al., 2016; Leslie and Pope, 2017; Dobbie et al., 2018a).”