Familial Caregiving and Timing of Retirement: A Gendered Cohort Analysis

TitleFamilial Caregiving and Timing of Retirement: A Gendered Cohort Analysis
Publication TypeThesis
Year of Publication2015
AuthorsStoiko, RR
AdvisorStrough, JN
Degree3718575
Number of Pages100
Date Published2015
UniversityWest Virginia University
CityMorgantown, WV
Thesis TypePh.D.
Accession Number1708653547
KeywordsAdult children, Demographics, Employment and Labor Force, Health Conditions and Status, Healthcare, Methodology, Other, Retirement Planning and Satisfaction
Abstract

Retirement timing has been linked to a host of outcomes for individuals, families, and communities. Well-known predictors of retirement timing include health, wealth, and cognitive capacity; a few studies have also linked gender and family caregiving to retirement timing. In the present study, data from the Health and Retirement Study were used to create profiles of pre-retirement family caregiving (operationalized as time and financial transfers to participants' aging parents and adult children). These profiles, as well as participant gender and cohort, were used to predict later retirement timing. All profiles retired, on average, earlier than their full eligibility for Social Security benefits. The Eldercare profile, which was characterized by high levels of time and financial transfers to aging parents, retired the earliest. On average, women retired earlier than men. Members of the War Babies cohort (b. 1941-1947) retired earlier than members of the HRS cohort (b. 1931-1941). There was not a significant interaction between caregiving profile and gender, revealing that when men enacted female-typical caregiving roles, their retirement timing resembled women's. Implications for individual retirement decision-making and policy are discussed.

Notes

Copyright - Copyright ProQuest Dissertations Publishing 2015 Last updated - 2015-09-02 First page - n/a

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Endnote Keywords

0620:Developmental psychology

Short TitleFamilial Caregiving and Timing of Retirement: A Gendered Cohort Analysis
Citation Key6116