Home > Research > Publications & Outputs > Multiple cohort data, delinquent generations an...

Associated organisational unit

View graph of relations

Multiple cohort data, delinquent generations and criminal careers.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Multiple cohort data, delinquent generations and criminal careers. / Francis, Brian J.; Ackerley, Elizabeth; Soothill, Keith.
In: Journal of Contemporary Criminal Justice, Vol. 20, No. 2, 05.2004, p. 103-126.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Francis BJ, Ackerley E, Soothill K. Multiple cohort data, delinquent generations and criminal careers. Journal of Contemporary Criminal Justice. 2004 May;20(2):103-126. doi: 10.1177/1043986204263768

Author

Francis, Brian J. ; Ackerley, Elizabeth ; Soothill, Keith. / Multiple cohort data, delinquent generations and criminal careers. In: Journal of Contemporary Criminal Justice. 2004 ; Vol. 20, No. 2. pp. 103-126.

Bibtex

@article{08fdbf3d094c4c2f9e7834963c7bb4cb,
title = "Multiple cohort data, delinquent generations and criminal careers.",
abstract = "This article investigates the effect of birth cohort membership on the risk of criminal conviction. The data used are taken from the England andWales Offenders Index and include official conviction histories of six birth cohorts of offenders. Particular problems related to the analysis of official conviction data are discussed, including the need to take account of temporal changes in the age-crime curve caused by social change and criminal policy and the need to be aware of identification issues. A Poisson log-linear model approach is taken. Including data on previous convictions can help explain heterogeneity. An interaction of previous convictions with yearwas found to be important, indicating that additional previous convictions have a greater effect on the conviction rate for more recent years. There is a weak cohort effect for males and a very weak effect for females, after controlling for age, year, previous convictions, and interactions between them.",
keywords = "age-crime curve • age-period-cohort models • crime rates • conviction data",
author = "Francis, {Brian J.} and Elizabeth Ackerley and Keith Soothill",
note = "RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research",
year = "2004",
month = may,
doi = "10.1177/1043986204263768",
language = "English",
volume = "20",
pages = "103--126",
journal = "Journal of Contemporary Criminal Justice",
issn = "1552-5406",
publisher = "SAGE Publications Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Multiple cohort data, delinquent generations and criminal careers.

AU - Francis, Brian J.

AU - Ackerley, Elizabeth

AU - Soothill, Keith

N1 - RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research

PY - 2004/5

Y1 - 2004/5

N2 - This article investigates the effect of birth cohort membership on the risk of criminal conviction. The data used are taken from the England andWales Offenders Index and include official conviction histories of six birth cohorts of offenders. Particular problems related to the analysis of official conviction data are discussed, including the need to take account of temporal changes in the age-crime curve caused by social change and criminal policy and the need to be aware of identification issues. A Poisson log-linear model approach is taken. Including data on previous convictions can help explain heterogeneity. An interaction of previous convictions with yearwas found to be important, indicating that additional previous convictions have a greater effect on the conviction rate for more recent years. There is a weak cohort effect for males and a very weak effect for females, after controlling for age, year, previous convictions, and interactions between them.

AB - This article investigates the effect of birth cohort membership on the risk of criminal conviction. The data used are taken from the England andWales Offenders Index and include official conviction histories of six birth cohorts of offenders. Particular problems related to the analysis of official conviction data are discussed, including the need to take account of temporal changes in the age-crime curve caused by social change and criminal policy and the need to be aware of identification issues. A Poisson log-linear model approach is taken. Including data on previous convictions can help explain heterogeneity. An interaction of previous convictions with yearwas found to be important, indicating that additional previous convictions have a greater effect on the conviction rate for more recent years. There is a weak cohort effect for males and a very weak effect for females, after controlling for age, year, previous convictions, and interactions between them.

KW - age-crime curve • age-period-cohort models • crime rates • conviction data

U2 - 10.1177/1043986204263768

DO - 10.1177/1043986204263768

M3 - Journal article

VL - 20

SP - 103

EP - 126

JO - Journal of Contemporary Criminal Justice

JF - Journal of Contemporary Criminal Justice

SN - 1552-5406

IS - 2

ER -