Using Random Judge Assignments to Estimate the Effects of Incarceration and Probation on Recidivism Among Drug Offenders
By Donald P. Green, D. Winik. 2010
217 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/ade931669d0d5d197621289c6918122927834edd
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
- M. D. Cattaneo
- Michael J. Kolesar
- Jing Jian Xiao
- Christoph Rothe
In Sociology and Political Science
- Alexander M. Holsinger
- Christopher T. Lowenkamp
- Lars Lefgren
- Brigham R. Frandsen
- Emily Leslie
- Alexandra Chouldechova
- Edward J. Latessa
- Timo Teräsvirta
Citations in the corpus
- Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges* (2015, unknown): “Di Tella and Schargrodsky (2013) and Green and Winik (2010) have also used this strategy to estimate the impact of incarceration on recidivism with differing results.”
- Judging Judge Fixed Effects (2019, background): “Recent examples employing this strategy include the effect of incarceration on economic and family outcomes (Green and Winik, 2010; Loeffler, 2013; Aizer and Doyle, 2015; Mueller-Smith, 2015; Bhuller et al., 2016; Eren and Mocan, 2017; Arteaga, 2018; Norris et al., 2018; Bhuller et al., 2018;…”
- A random study of Staff Training Aimed at Reducing Re-arrest (STARR): using core correctional practices in probation interactions (2012, background): “2008 , Green and Winik 2010 ) produced sobering results.”