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.
Leer el método completo
Inicia sesión con una cuenta gratuita para leer esta sección.
Mapa de métodos
El vecindario de métodos relacionados: selecciona un nodo para explorarlo.
Fuentes
- 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 ↗
Cómo citar esta página
ScholarGate. (2026, June 22). Regression Discontinuity Designs in Sentencing and Justice Thresholds. ScholarGate. https://scholargate.app/es/criminology/regression-discontinuity-sentencing
¿Qué método?
Coloca este método junto a sus parientes más cercanos y léelos lado a lado: la biblioteca pone los libros sobre la mesa; la elección es tuya.
- Deterrence AnalysisCriminology↔ comparar
- Interrupted Time Series in Crime AnalysisCriminology↔ comparar
- Propensity Weighting in CriminologyCriminology↔ comparar
- Diseño de Regresión Discontinua (RDD)Inferencia causal↔ comparar
Métodos similares
¿Has visto un problema en esta página? Infórmanos o sugiere una corrección →