Abstract
The impending retirement of large population cohorts creates a pressing need for practical interventions to optimize outcomes
at the individual and societal level. This necessitates comprehensive theoretical models that acknowledge the multi-layered
nature of the retirement process and shed light on the dynamic mechanisms that drive longitudinal patterns of adjustment.
The present commentary highlights ways in which contemporary life-span developmental frameworks can inform retirement research,
drawing on the specific examples of Bronfenbrenner’s Ecological Model, Baltes and Baltes Selective Optimization with Compensation
Framework, Schulz and Heckhausen’s Motivational Theory of Life-Span Development, and Carstensen’s Socioemotional Selectivity
Theory. Ultimately, a life-span developmental perspective on retirement offers not only new interpretations of known phenomena
but may also help to identify novel directions for future research as well as promising pathways for interventions.
at the individual and societal level. This necessitates comprehensive theoretical models that acknowledge the multi-layered
nature of the retirement process and shed light on the dynamic mechanisms that drive longitudinal patterns of adjustment.
The present commentary highlights ways in which contemporary life-span developmental frameworks can inform retirement research,
drawing on the specific examples of Bronfenbrenner’s Ecological Model, Baltes and Baltes Selective Optimization with Compensation
Framework, Schulz and Heckhausen’s Motivational Theory of Life-Span Development, and Carstensen’s Socioemotional Selectivity
Theory. Ultimately, a life-span developmental perspective on retirement offers not only new interpretations of known phenomena
but may also help to identify novel directions for future research as well as promising pathways for interventions.
- Content Type Journal Article
- Category Review
- Pages 1-5
- DOI 10.1007/s10433-012-0241-9
- Authors
- Corinna E. Löckenhoff, Cornell University, Ithaca, NY, USA
- Journal European Journal of Ageing
- Online ISSN 1613-9380
- Print ISSN 1613-9372