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Participation and Frequency During Criminal Careers Across the Life Span

Bibliographic Data

ID9681001
AuthorsHANNO PETRAS (0000-0002-4231-859X, JBS International (United States), corresponding author), P Nieuwbeerta (0000-0001-5134-3175, Leiden University), Alex R Piquero (0000-0003-4198-4985, Florida State University)
Year2010
Volume48
Issue2
Pages607-637
Publication date2010-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCriminology (JOURNAL)
Journal identifiersISSN: 0011-1384 • E-ISSN: 1745-9125
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1745-9125.2010.00197.x
OpenAlexW2086948791
LanguageEN
Citations received16
References cited64

Recent advances and debates surrounding general and developmental as well as static and dynamic theories of crime can be traced to the 1986 National Academy of Science's Report on criminal careers and the discussion it generated. A key point of contention has been regarding the interpretation of the age–crime curve. According to Gottfredson and Hirschi (1986), the decline in the age–crime curve in early adulthood reflects decreasing individual offending frequency (λ) after the peak. Blumstein et al. (1986) claimed that the decline in the aggregate age–crime curve also could be attributable to the termination of criminal careers, and the average value of l could stay constant (or increase with age) for those offenders who remain active after that peak. Using data from the Criminal Career and Life Course Study—including information on criminal convictions across 60 years of almost 5,000 persons convicted in the Netherlands—and applying a two‐part growth model that explicitly distinguishes between participation and frequency, the study outlined in this article assessed the participation–frequency debate. Results suggest that the decline in the age–crime curve in early adulthood reflects both decreasing individual offending participation and frequency after the peak, that the probabilities of participation and frequency are significantly related at the individual level, and that sex and marriage influence both participation and frequency

Criminology · Developmental psychology · Life course approach · Life span · Statistics · Value (mathematics · Crime Patterns and Interventions · Criminal Justice and Corrections Analysis · Mathematics · Medicine · Psychology · Substance Abuse Treatment and Outcomes · Gerontology

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Unique citing works16
Citations per year1,07
Citation span2011 - 2026 (16)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 16

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