NBER WORKING PAPER SERIES THE EFFECTS OF PRE-TRIAL DETENTION ON CONVICTION, FUTURE CRIME, AND EMPLOYMENT: EVIDENCE FROM RANDOMLY ASSIGNED JUDGES

By Will Dobbie, Jacob Goldin, Crystal S. Yang, Amanda Y. Agan, Adam B. Cox, Henry S. Farber, Louis Kaplow, Adam Looney, Alex Mas, Magne Mogstad and 7 more. 2016

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Citations in the corpus

Collateral Consequences of Punishment: A Critical Review and Path Forward (2018, background): “…exorbitant bail system and the ubiquity of pre-trial detention, the proportion of probationers who served significant time in jail prior to sentencing (or others measured as never incarcerated) is likely non-trivial and often unmeasured (Dobbie et al. 2016, Geller et al. 2016, Minton & Zeng 2016).”
Racial Bias in Bail Decisions ⇤ (2018, unknown): “[28] Dobbie, Will, Jacob Goldin, and Crystal Yang, “The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges,” American Economic Review, 108 (2018), 201-240.”
The effect of disability insurance receipt on labor supply (2014, unknown): “These rapidly rising costs have generated many policy proposals to reform the system (Autor and Duggan 2010; Burkhauser and Daly 2011). DI is often cited as a major cause of the fall in labor supply of American men aged 55–64. In order to better understand the labor supply effects of DI, Bound (1989”
Nber Working Paper Series Human Decisions and Machine Predictions Human Decisions and Machine Predictions (2017, background): “Jail spells also impose costs on defendants in terms of lost freedom (Abrams and Rohlfs, 2011), impacts on families, higher chance of a finding of guilt, and declines in future employment (Dobbie et al., 2016).”
Quasi-Experimental Shift-Share Research Designs (2018, unknown): “26Recent examples of examiner designs include Chetty et al. (2011), Maestas et al. (2013), Doyle et al. (2015), Feng and Jaravel (2017), and Dobbie et al. (2018).”
Distortion of Justice: How the Inability to Pay Bail Affects Case Outcomes (2018, background): “(2016), Dobbie et al. (2016) and Leslie and Pope (2016) have shown that pretrial detention is associated with unfavorable case outcomes in New York City, Houston, Miami, Philadelphia, and Pittsburg.”
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.”
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks (2021, background): “Primarily valuing reduced crime risk may also come at the cost of overvaluing 230 incarceration, as incarceration by definition reduces one’s likelihood of committing a crime in the near 231 future [67], and create substantial lasting harms to those incarcerated and their communities [68, 69].”
Judging Judge Fixed Effects (2019, methodology): “Most common in the literature are informal tests that examine the correlation of judge severity across observable subgroups (Bhuller et al., 2018; Dobbie et al., 2018a).”