An Evaluation of California's Inmate Classification System Using a Generalized Regression Discontinuity Design

By Richard A. Berk, Jan de Leeuw. 1999

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Citations in the corpus

Fairness in Criminal Justice Risk Assessments: The State of the Art (2017, background): “…table for the housing decisions made for prison inmates (e.g., low security housing versus high security housing) from a given prison in a particular jurisdiction might be used to draw inferences about placement decisions in other prisons in the same jurisdiction (Berk and de Leeuw, 1999).”
Forecasting Dangerous Inmate Misconduct: An Application of Ensemble Statistical Procedures (2005, background): “Earlier research ( Berk and de Leeuw, 1998; Berk et al., 2003) indicates that the vast majority of inmates are not a significant threat to engage in the most serious kinds of misconduct.”
An impact assessment of machine learning risk forecasts on parole board decisions and recidivism (2017, methodology): “Had there been only two categories, a generalized regression discontinuity analysis could be applied using logistic regression (Berk and de Leeuw 1999).”
Applying the Regression-Discontinuity Design to Infer Causality with Non-Random Assignment (2006, methodology): “…developmental program, no other covariates are needed to obtain unbiased estimates of the treatment effect using the regression‑discontinuity design (Berk & DeLeeuw, 1999), but including covariates can increase the efficiency of the estimate of the treatment effect (Judd & Kenny, 1981; Trochim,…”
3. The Foundations of Causal Inference (2010, methodology): “…of PSM methods and the strong endorsement they received from prominent statisticians (Rubin 2007), social scientists (Morgan and Winship 2007; Berk and de Leeuw 1999), health scientists (Austin 2008), and economists (Heckman 1992) has increased the popularity of the method to the point where…”
The prognostic analogue of the propensity score (2008, background): “nuity designs (RDs: Campbell and Stanley 1966; Berk and de Leeuw 1999; Hahn”
When second best is good enough: a comparison between a true experiment and a regression discontinuity quasi-experiment (2010, methodology): “The regression discontinuity design has long been recognized as a powerful alternative to randomized experiments (Thistlewaite and Campbell, 1960; Campbell and Stanley, 1963; Rubin, 1974; Boruch and DeGracie, 1975; Trochim, 2001), has been used successfully in a few criminal justice applications (Be”
Building world-class research university: The Brain Korea 21 project (2009, methodology): “In an interrupted time-series design, the program effects are measured by the differences in growth rates between before and after program intervention, making it equivalent to the cutting-point in a regression discontinuity design (for details on regression discontinuity designs, see Berk and de L”