Estimable functions in age-period-cohort models: a unified approach

Estimable functions in age-period-cohort models: a unified approach Age-period-cohort (APC) models have an intriguing appeal because each of these factors may be independently associated with age-period-specific rates (or other values). Unfortunately, one can not uniquely estimate the effects that generated the outcome data because these effects are linearly dependent. It is possible, however, to estimate certain linear combinations of these effects that are themselves unique estimates of the data generating parameters. The author demonstrates that all of the least square solutions for the APC model lie on a line in multidimensional solution space. This characteristic of the solutions to the APC model allows for a unified approach to the derivation of estimable functions, which is then used to derive the most prominent estimable functions in the APC literature and can be used to discover new ones. Quality & Quantity Springer Journals

Estimable functions in age-period-cohort models: a unified approach

Loading next page...
Springer Netherlands
Copyright © 2012 by Springer Science+Business Media Dordrecht
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
Publisher site
See Article on Publisher Site


You’re reading a free preview. Subscribe to read the entire article.

DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches


Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.



billed annually
Start Free Trial

14-day Free Trial