<i>Latent Cumulative Disadvantage:</i> US Immigrants’ Reversed Economic Assimilation in Later Life
Why this work is in the frame
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Bibliographic record
Abstract
Abstract One of the most salient findings in research on immigration has been that immigrants experience substantial economic mobility as they accumulate more years in the host-society labor force and eventually approach earnings parity with their native-born counterparts. However, we do not know whether this progress is sustained in retirement. In this paper, I develop a framework of Latent Cumulative (Dis)advantage and hypothesize that even as immigrants are approaching parity with the native-born in terms of current earnings, they accumulate disadvantages in lifetime earnings, job benefits, and retirement planning that eventually lead them to have growing disadvantages in income in later life. Drawing on decades of longitudinal data from the Health and Retirement Study, I find that while foreign- and native-born men in the United States both experience a decline in income after age 50, the decline is much more substantial among foreign-born men. As a result, immigrant men’s economic assimilation is reversed in later life. I find evidence that this phenomenon is driven mainly by immigrants’ lower lifetime earnings and cumulative exposure to worse job benefits. Given that the foreign-born elderly population in the United States is projected to quadruple by 2050, findings from this paper have important implications for long-term policy planning.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it