In general the age–period–cohort (APC) conundrum refers to the problem of separating the effects of age-groups, periods, and cohorts. This formulation, however, fails to differentiate two fundamental problems in APC analysis: (1) the problem of the complete confounding of the linear effects of age with the effects of period and cohort, the linear effects of cohorts with period and age, and the linear effects of period with age and cohort; and (2) the problem of model identification. We elucidate both problems and show how the first problem makes the partitioning of variance between cohort effects, period effects, and age effects and the deviation of their effects from linearity problematic even when these approaches do not suffer from the problems associated with model identification. We conclude by examining the affects of this linear confounding on estimates of the individual effect coefficients for age-groups, periods, and cohorts when a linear constraint it imposed on the matrix of independent variables to produce an identifiable model.
Quality & Quantity – Springer Journals
Published: Dec 12, 2010
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud