Cited by 12Insurance, Mortality, Demography, Risk ManagementStatistical Methods in EpidemiologyGlobal Cancer Incidence and Screening

APC curvature plots: Displaying nonlinear age-period-cohort patterns on Lexis plots

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Acosta, Enrique, van Raalte, Alyson·2019·Demographic Research

Abstract

The analysis of age-period-cohort (APC) patterns of vital rate changes over time is of great importance for understanding demographic phenomena. Given the limitations of statistical modeling, the use of graphical analyses is often regarded as a more transp

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Crossref · 10.4054/demres.2019.41.42

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  • Lexis surfaces provide an intuitive approach to identify cohort patterns without relying on assumptions of age-period-cohort statistical models.

    “Lexis surfaces provide an intuitive approach to identify cohort patterns without relying on assumptions of age–period–cohort statistical models (55).”

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Authors
Acosta, E., & van Raalte, A.
Affiliations
Max Planck Institute for Demographic Research (DE)
Corresponding author
Acosta, Enrique
Venue
Demographic Research
Published
2019-11-07
Volume
41
Pages
1205-1234
ISSN
1435-9871 (ISSN-L)
OpenAlex
W2983192789
Cited by
12
References
49
Citations by year
2026: 2 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 1
FWCI
3.40
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Demographic Research (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Funders
H2020 European Research Council (716323)
Topics
  • Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Keywords
age-period-cohort analysis, mortality trends

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