Full Citation

Title: The Age-Period-Cohort-Interaction Model for Describing and Investigating Inter-cohort Deviations and Intra-cohort Life-course Dynamics

Citation Type: Journal Article

Publication Year: 2022

ISBN:

ISSN: 15528294

DOI: 10.1177/0049124119882451/ASSET/IMAGES/LARGE/10.1177_0049124119882451-FIG3.JPEG

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Abstract: Social scientists have frequently sought to understand the distinct effects of age, period, and cohort, but disaggregation of the three dimensions is difficult because cohort = period − age. We argue that this technical difficulty reflects a disconnection between how the cohort effect is conceptualized and how it is modeled in the traditional age-period-cohort framework. We propose a new method, called the age-period-cohort-interaction (APC-I) model, that is qualitatively different from previous methods in that it represents Ryder’s theoretical account about the conditions under which cohort differentiation may arise. This APC-I model does not require problematic statistical assumptions and the interpretation is straightforward. It quantifies inter-cohort deviations from the age and period main effects and also permits hypothesis testing about intra-cohort life-course dynamics. We demonstrate how this new model can be used to examine age, period, and cohort patterns in women’s labor force participation.

Url: https://journals-sagepub-com.ezp1.lib.umn.edu/doi/full/10.1177/0049124119882451

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Authors: Luo, Liying; Hodges, James S.

Periodical (Full): Sociological Methods and Research

Issue: 3

Volume: 51

Pages: 1164-1210

Data Collections: IPUMS CPS

Topics: Gender, Labor Force and Occupational Structure, Methodology and Data Collection

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