Thoughts on new statistical procedures for age-period-cohort analyses
Andrew Gelman
TL;DR
This paper discusses the challenges and potential approaches to developing new statistical procedures for age-period-cohort analysis, which is complicated by fundamental nonidentifiability issues.
Contribution
It offers insights into possible new methods for age-period-cohort analysis addressing the nonidentifiability problem.
Findings
Highlights the mathematical intractability of age-period-cohort models.
Suggests that understanding can be achieved through problem-specific approaches.
Provides a conceptual framework for future methodological development.
Abstract
Age-period-cohort analysis is mathematically intractable because of fundamental nonidentifiability of linear trends. However, some understanding can be gained in the context of individual problems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInsurance, Mortality, Demography, Risk Management · demographic modeling and climate adaptation · Global Health Care Issues