Self-employment of older workers and the transition to retirement: using machine learning to uncover heterogeneity in work arrangements.

Abramowitz J, Joung A

DOI: 10.1093/geroni/igag043
Published: 2026
Container: Innovation in aging
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/geroni/igag043,
  title = {Self-employment of older workers and the transition to retirement: using machine learning to uncover heterogeneity in work arrangements.},
  author = {Abramowitz J and Joung A},
  year = {2026},
  journal = {Innovation in aging},
  doi = {10.1093/geroni/igag043},
  url = {https://doi.org/10.1093/geroni/igag043}
}

RIS

TY  - JOUR
TI  - Self-employment of older workers and the transition to retirement: using machine learning to uncover heterogeneity in work arrangements.
AU  - Abramowitz J
AU  - Joung A
PY  - 2026
JO  - Innovation in aging
DO  - 10.1093/geroni/igag043
UR  - https://doi.org/10.1093/geroni/igag043
ER  -

APA

J, A., & A, J. (2026). Self-employment of older workers and the transition to retirement: using machine learning to uncover heterogeneity in work arrangements.. Innovation in aging. https://doi.org/10.1093/geroni/igag043

Source records

pubmed · retrieved 2026-11-10T09:37:06.538Z