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The Age-Period-Cohort-Interaction Model for Describing and Investigating Inter-Cohort Deviations and Intra-Cohort Life-Course Dynamics

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  • Liying Luo
  • James Hodges

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 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 (1965) 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.

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  • Liying Luo & James Hodges, 2019. "The Age-Period-Cohort-Interaction Model for Describing and Investigating Inter-Cohort Deviations and Intra-Cohort Life-Course Dynamics," Papers 1906.08357, arXiv.org.
    • Handle: RePEc:arx:papers:1906.08357
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    1. Insan Tunali & Murat Güray Kirdar & Meltem Dayioglu, 2019. "Female Labor Force Participation In Turkey: A Synthetic Cohort (Panel) Analysis, 1988-2013," Working Papers 1378, Economic Research Forum, revised 20 Dec 2019.

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