Analyzing variation in prior record penalties across conviction offenses

The focal concerns perspective suggests that criminal history and the nature of the offense interact to influence judicial assessments of community threat, yet this question has not been subject to systematic empirical examination. Drawing on 4 years of data (2007-2010) from the Pennsylvania Commiss...

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Bibliographic Details
Main Author: Cassidy, Michael (Author)
Contributors: Rydberg, Jason
Format: Electronic Article
Language:English
Published: 2018
In: Crime & delinquency
Year: 2018, Volume: 64, Issue: 7, Pages: 831-855
Online Access: Volltext (Resolving-System)
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Keywords:
Criminal history
Linear mixed models
Offense type
Quantile regression,
Sentencing guidelines
Description
Summary:The focal concerns perspective suggests that criminal history and the nature of the offense interact to influence judicial assessments of community threat, yet this question has not been subject to systematic empirical examination. Drawing on 4 years of data (2007-2010) from the Pennsylvania Commission on Sentencing (N = 75,676), we utilize linear quantile mixed models (LQMM) to examine the impact of prior record on the conditional distribution of sentence lengths across violent, property, drug, and sex offenders, controlling for the effects of important individual and judicial district-level covariates. The results indicate that prior record penalties differ both between and within conviction offense types across the conditional sentence length distribution. Substantive, theoretical, and methodological implications are discussed.
ISSN:1552-387X
DOI:10.1177/0011128717693215