A Cohort-Based Analysis of Labor Force Participation for Advanced Economies /
Advanced economies are in the midst of a major demographic transition, with the number of elderly rising precipitously relative to the working-age population. Yet, despite the acceleration in demographic shifts in the past decade, advanced economies experienced markedly different trajectories in ove...
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| Altri autori: | , |
| Natura: | Periodico |
| Lingua: | English |
| Pubblicazione: |
Washington, D.C. :
International Monetary Fund,
2018.
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| Serie: | IMF Working Papers; Working Paper ;
No. 2018/120 |
| Accesso online: | Full text available on IMF |
| Riassunto: | Advanced economies are in the midst of a major demographic transition, with the number of elderly rising precipitously relative to the working-age population. Yet, despite the acceleration in demographic shifts in the past decade, advanced economies experienced markedly different trajectories in overall labor force participation rates and the workforce attachment of men and women. Using a cohort-based model of labor force participation for 17 advanced economies estimated over the 1985-2016 period, we document a significant role of common patterns of participation over the life cycle and shifts in these patterns across generations for aggregate labor supply, especially in the case of women. The entry of new cohorts of women led to upward shifts in the age participation prole, boosting aggregate participation rates. However, this process plateaued in most advanced economies, with signs of reversal in some. Using the model's results to forecast future participation trends, we project sizable declines in aggregate participation rates over the next three decades due to the aging of the population. Illustrative simulations show that implementing policies encouraging labor supply can help attenuate but may not fully offset demographic pressures. |
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| Descrizione del documento: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Descrizione fisica: | 1 online resource (24 pages) |
| Natura: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Accesso: | Electronic access restricted to authorized BRAC University faculty, staff and students |