arbiter
JournalsPricingAccount

Where Have All the (Boomer) Routine Workers Gone?

Carol Scotese

The BE Journal of Economic Analysis and Policy2026https://doi.org/10.1515/bejeap-2024-0396article
AJG 2ABDC A
Weight
0.50

What the paper says

This paper examines the employment outcomes of a cohort of non-college educated individuals who exit employment from occupations most exposed to automation risk. The analysis employs a novel set of granular task measures estimated from the detailed job attributes in the Occupational Information Network (O*NET). The granularity enables a rich characterization of non-routine work and task mobility choices for those without a college degree. The data yield multiple types of interpersonal, decision-making, cognitive, and technical tasks. Employing the granular tasks to analyze the employment outcomes for non-college educated workers who transition out of routine work, this study finds (1) the granular measures detect abstract tasks performed intensively in a range of skill contexts, (2) when exiting routine intensive work, non-college propensity to enter abstract work is just under 65 %, and (3) approximately one-quarter of those entries are into tasks yielding average wage gains for those making that transition.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1515/bejeap-2024-0396

Or copy a formatted citation

@article{carol2026,
  title        = {{Where Have All the (Boomer) Routine Workers Gone?}},
  author       = {Carol Scotese},
  journal      = {The BE Journal of Economic Analysis and Policy},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1515/bejeap-2024-0396},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Where Have All the (Boomer) Routine Workers Gone?

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.