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      CORRELATES OF RETIREMENT EXPECTATIONS AMONG BABY BOOMERS IN US AND SOUTH KOREA: APPLICATIONS OF TREE-BASED METHODS

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      Innovation in Aging
      Oxford University Press

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          Abstract

          75 million US Baby Boomers are expected to retire by 2030. Retirement decisions are a result of a complex interplay of multiple psychosocial factors, including individual (demographics, health characteristics), family (marital status, spousal characteristics), work-related factors (job characteristics, workplace environment), and cultural contexts surrounding retirement. However, traditional regressions of retirement expectations limit the inclusion of a large set of factors and their interactions. This study employed decision trees and random forests to explore the salient psychosocial correlates of retirement expectations among Baby Boomers in two countries that differ in retirement norms and policies, US and South Korea. Sample included adults aged 52-65 from the 2016 wave of the Health and Retirement Study (n=1,192) and the Korean Longitudinal Study of Aging (n= 766). Expectation (probability) of working full-time for the next 5-10 years was modeled continuously (range: 0-100). Prediction models of expectations included 52 psychosocial factors relating to individual, family, and work characteristics. Mean expectations were higher in Koreans than US adults (71.4% vs. 36.7%). Age, self-reported probability of living to age 75, and work hours strongly predicted expectations in both US and Korean adults. While type of employment, Social Security or private pension benefits, and employment tenure were important predictors in US adults, flexible work arrangements were important in Koreans. Differences in features predicting retirement expectations between the US and Korean adults suggest opportunities for country-specific programs and policies aimed to promote workplace environment and pension benefits for successful retirement planning in the Baby Boom generation.

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          Author and article information

          Contributors
          Journal
          Innov Aging
          Innov Aging
          innovateage
          Innovation in Aging
          Oxford University Press (US )
          2399-5300
          December 2023
          21 December 2023
          21 December 2023
          : 7
          : Suppl 1 , Program Abstracts from The GSA 2023 Annual Scientific Meeting, “Building Bridges > Catalyzing Research > Empowering All Ages”
          : 264
          Affiliations
          University of Michigan , Ann Arbor, Michigan, United States
          University of Michigan , Ann Arbor, Michigan, United States
          Article
          igad104.0879
          10.1093/geroni/igad104.0879
          10736035
          14ad7c8a-fd57-4ddf-9615-0dea984a9351
          © The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America.

          This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

          History
          Page count
          Pages: 1
          Categories
          Abstracts
          Session 3085 (Paper)
          Social Status and Retirement across Age and Nations
          AcademicSubjects/SOC02600

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