Volume 41 - Article 42 | Pages 1205–1234 Author has provided data and code for replicating results

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

By Enrique Acosta, Alyson van Raalte

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Date received:08 Mar 2019
Date published:07 Nov 2019
Word count:3946
Keywords:age-period-cohort effects, curvatures, data visualization, Lexis plots, nonlinear effects
DOI:10.4054/DemRes.2019.41.42
Additional files:readme.41-42 (text file, 6 kB)
 demographic-research.41-42 (zip file, 149 kB)
Weblink:You will find all publications in this Special Collection on Data Visualization here.
 

Abstract

Background: 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 transparent approach to identifying APC effects.

Objective: The current paper proposes a Lexis plot for the depiction and analysis of curvature, which is defined as the estimable nonlinear component of age, period, and cohort effects.

Methods: In a single visualization, we combine the dynamics of the location, the magnitude, and the spread of nonlinear temporal effects for multiple populations or demographic phenomena. Using vital rates, we provide three examples in which we analyze the APC nonlinear effects of different demographic phenomena.

Results: We construct several APC curvature plots to display the following patterns: the modal cohort of excess mortality from drug-related causes by racial/ethnic group in the United States among the baby boomer generations; the modal age of excess mortality in young adults; and the modal age of fertility over cohorts and across populations.

Contribution: The use of the APC curvature plot offers more flexibility when analyzing nonlinear APC effects than the use of mathematical models or other Lexis plots.

Author's Affiliation

Enrique Acosta - Max-Planck-Institut für Demografische Forschung, Germany [Email]
Alyson van Raalte - Max-Planck-Institut für Demografische Forschung, Germany [Email]

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