Cohort Analysis

Glenn, Norval D.

doi:10.4135/9781412983662

Cited by 262 publications

(127 citation statements)

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“…Whilst this has been part of the literature for decades (Glenn, 1977;Mason et al, 1973;Ryder, 1965), serious misunderstandings remain across the social sciences (Bell & Jones, 2014b). This section clarifies these misunderstandings before considering their relevance to understanding changing mental health.…”

Section: Mental Healthmentioning

confidence: 97%

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Life-course and cohort trajectories of mental health in the UK, 1991–2008 – A multilevel age–period–cohort analysis

Bell

2014

Social Science & Medicine

103

121

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Section: Mental Healthmentioning

confidence: 97%

“…As a result of the age-periodcohort (APC) identification problem, it is impossible to predict APC trajectories accurately without making assumptions regarding at least one of APC (Bell & Jones, 2013b;Glenn, 2005). Other sources of dependency, particularly spatial dependency, should also be considered.…”

mentioning

confidence: 99%

Life-course and cohort trajectories of mental health in the UK, 1991–2008 – A multilevel age–period–cohort analysis

Bell

2014

Social Science & Medicine

103

121

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“…The inherent identification problem of age-period-cohort models has generated much debate (Glenn, 2005;Rodgers, 1982). Given that each variable is a perfect linear function of the other two, simultaneous estimation of the effect of age, period and birth cohort is not possible without breaking the linear relationship.…”

Section: Apc Models and The "Identification Problem"mentioning

confidence: 99%

“…However, given the lack of a purely technical solution to the identification problem, APC model specification should be guided by theory (Glenn, 2005). In this article I employ a solution suggested by Deaton (1985) in which temporal change is decomposed into a cohort and an age profile, while period effects are regarded as exogenous shocks which sum to zero in the long run.…”

Section: Apc Models and The "Identification Problem"mentioning

confidence: 99%

Tracing the cigarette epidemic: An age-period-cohort study of education, gender and smoking using a pseudo-panel approach

Vedøy¹

2014

Social Science Research

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(online), with the title: Tracing the cigarette epidemic: An age-period-cohort study of education, gender and smoking using a pseudo-panel approach http://www.sciencedirect.com/science/article/pii/S0049089X14001033Tracing the cigarette epidemic: An age-period-cohort study of education, gender and smoking using a pseudopanel approach AbstractThis study examined if temporal variations in daily cigarette smoking and never-smoking among groups with different levels of education fit the pattern proposed by the theory of diffusion of innovations (TDI), while taking into account the separate effects of age, period and birth cohort (APC). Aggregated data from nationally representative interview surveys from Norway from 1976 to 2010 was used to calculate probabilities of smoking using an APC approach in which the period variable was normalized to pick up short term cyclical effects. Results showed that educational differences in smoking over time were more strongly determined by birth cohort membership than variations in smoking behavior across the life course. The probability of daily smoking decreased faster across cohorts among higher compared to lower educated. In contrast, the change in probability of never having smoked across cohorts was similar in the two education groups, but stronger among men compared to women. Moreover, educational differences in both daily and never-smoking increased among early cohorts and leveled off among late cohorts. The results emphasizes the importance of birth cohort for social change and are consistent with TDI, which posits that smoking behavior diffuse through the social structure over time.

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“…10.1 no longer applies (that is, it is no longer possible to always be sure of the value of one of the APC variables if you know the value of the other two). However, as Mason et al recognised (but unfortunately many who use the Mason et al method do not), solving the dependency in the model does not solve the dependency in the real world (Glenn , 2005Osmond and Gardner 1989). Whilst the model will produce an answer, there is no way of knowing whether that answer is correct unless we know that the constraint imposed is exactly correct.…”

Section: 'Solutions' To the Apc Identification Problemmentioning

confidence: 99%

A Life Course Perspective on Health Trajectories and Transitions

Burton-Jeangros

Cullati

Sacker

et al. 2015

Life Course Research and Social Policies

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Life course research has been developing quickly these last decades for good reasons. Life course approaches focus on essential questions about individuals' trajectories, longitudinal analyses, cross-fertilization across disciplines like lifespan psychology, developmental social psychology, sociology of the life course, social demography, socio-economics, social history. Life course is also at the crossroads of several fields of specialization like family and social relationships, migration, education, professional training and employment, and health. This Series invites academic scholars to present theoretical, methodological, and empirical advances in the analysis of the life course, and to elaborate on possible implications for society and social policies applications.More information about this series at

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Cohort Analysis

Cited by 262 publications

References 0 publications

Life-course and cohort trajectories of mental health in the UK, 1991–2008 – A multilevel age–period–cohort analysis

Life-course and cohort trajectories of mental health in the UK, 1991–2008 – A multilevel age–period–cohort analysis

Tracing the cigarette epidemic: An age-period-cohort study of education, gender and smoking using a pseudo-panel approach

A Life Course Perspective on Health Trajectories and Transitions

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