ArticleJournal of quantitative criminology2021
Cohort Variation in U.S. Violent Crime Patterns from 1960 to 2014: An Age-Period-Cohort-Interaction Approach.
Article in Journal of quantitative criminology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Do Temporal Changes in Complete Tooth Loss Point to Cohort Effects?Community dentistry and oral epidemiology · 2026Article
- High rates of polygyny do not lock large proportions of men out of the marriage market.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- An age-period-cohort-interaction analysis of meth/amphetamine-related deaths in Australia, 2001-2020.Addiction (Abingdon, England) · 2025Article
- Social Change and Race-Specific Homicide Trajectories: An Age-Period-Cohort Analysis.The Journal of research in crime and delinquency · 2024Article
- Examining the stability and change in age-crime relation in South Korea, 1980-2019: An age-period-cohort analysis.PloS one · 2024Article
- Temporal trends and cohort variations of gender-specific major depressive disorders incidence in China: analysis based on the age-period-cohort-interaction model.General psychiatry · 2024Article
- APCI: An R and Stata Package for Visualizing and Analyzing Age-Period-Cohort Data.The R journal · 2022Article
- Social change and cohort differences in group-based arrest trajectories over the last quarter-century.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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Authors and funding
2 authors.
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Abstract
Objectives: Previous research in criminology has overlooked that cohort effects on crime should be Methods: We use the age-period-cohort-interaction (APC-I) model developed by Luo and Hodges (Sociol Methods Res 2020) to analyze the UCR age-specific arrest statistics for robbery, aggravated assaults, and homicide from 1960 to 2014. Specifically, we estimate and test two types of cohort variation: average cohort deviations and life-course dynamics. Results: Our findings reveal varying degrees of cohort deviations at different ages. The early boomers (born between 1945 and 1954) and the late boomers (born between 1955 and 1964) demonstrate different intra-cohort dynamics of robbery arrest, and the violence epidemic cohorts' (born between 1975 and 1984) high risks of homicide arrest appear to be driven by cohort deviations at young ages. Conclusions: The APC-I framework introduced in this study provides new insights into the dynamic aspect of cohort effects on violent crime that have not been examined in the criminological literature. Criminological studies on cohort effects would benefit by shifting away from the problematic assumption of constant and additive cohort effects to the dynamic and interactive approach represented by the APC-I framework.
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