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Propensity Score Methods in Criminology×Criminal Career Paradigm×
CampoCriminologyCriminology
FamigliaProcess / pipelineProcess / pipeline
Anno di origine19831986
IdeatorePaul Rosenbaum & Donald Rubin (method); Apel & Sweeten (criminological application)Alfred Blumstein, Jacqueline Cohen, Jeffrey Roth & Christy Visher
TipoObservational causal-inference technique applied to crime and justice interventionsConceptual framework for decomposing offending over the life course
Fonte seminaleRosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. DOI ↗Blumstein, A., Cohen, J., Roth, J. A., & Visher, C. A. (Eds.). (1986). Criminal Careers and 'Career Criminals' (Vols. 1–2). National Academy Press. ISBN: 9780309036887
AliasPropensity Score Analysis in Crime and Justice Research, Criminological Propensity Score Matching, Observational Causal Inference in Criminology, Propensity Score Adjustment for Justice InterventionsCriminal Careers Framework, Career Criminal Paradigm, Offending Career Approach, Blumstein Criminal Career Model
Correlati44
SintesiPropensity score methods estimate the causal effect of a criminal-justice treatment — such as incarceration, gang membership, a diversion program, or arrest — from observational data, where random assignment is impossible. Building on Rosenbaum and Rubin's 1983 framework and adapted to crime research by Apel, Sweeten, and others, the approach summarizes many confounders into a single probability of treatment, then matches, weights, or stratifies on it to approximate a randomized comparison. This page covers the criminological application; for the general estimators see propensity-score-matching and propensity-score-weighting.The criminal career paradigm is a framework for studying offending as a longitudinal sequence in an individual's life rather than as undifferentiated aggregate crime. Codified by Blumstein, Cohen, Roth, and Visher in the 1986 National Academy of Sciences report, it decomposes crime into distinct dimensions — whether someone offends (participation), how often active offenders offend (frequency, λ), and the onset, seriousness, and duration of the career — each potentially with different causes.
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