Regression Discontinuity in Sentencing
Regression discontinuity (RD) in sentencing exploits the sharp thresholds built into justice policy — sentencing-guideline cutoffs, the age of majority, risk-score thresholds that trigger detention or diversion — to estimate causal effects without a randomized trial. Units just above the cutoff receive a different treatment from units just below it, yet they are otherwise nearly identical, so comparing their outcomes isolates the effect of crossing the line. Berk and Rauma's 1983 evaluation of a crime-control program showed how criminologists can 'capitalize on nonrandom assignment' created by such rules.
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Fonti
- Berk, R. A., & Rauma, D. (1983). Capitalizing on nonrandom assignment to treatments: A regression-discontinuity evaluation of a crime-control program. Journal of the American Statistical Association, 78(381), 21–27. DOI: 10.1080/01621459.1983.10477917 ↗
- Lee, D. S., & Lemieux, T. (2010). Regression discontinuity designs in economics. Journal of Economic Literature, 48(2), 281–355. DOI: 10.1257/jel.48.2.281 ↗
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ScholarGate. (2026, June 22). Regression Discontinuity Designs in Sentencing and Justice Thresholds. ScholarGate. https://scholargate.app/it/criminology/regression-discontinuity-sentencing
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- Interrupted Time Series in Crime AnalysisCriminology↔ confronta
- Propensity Weighting in CriminologyCriminology↔ confronta
- Disegno a Regressione Discontinua (RDD)Inferenza causale↔ confronta
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