CROSS‐NATIONAL DIFFERENCES IN INCOME MOBILITY: EVIDENCE FROM CANADA, THE UNITED STATES, GREAT BRITAIN AND GERMANY
Why this work is in the frame
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Bibliographic record
Abstract
Using a standardized dataset, this paper compares the differences in income mobility among four countries—Canada, the United States, Great Britain and Germany—during the 1990s and early 2000s. The results suggest that, in general, there exist diverse levels of income mobility across the four countries. Although the precise magnitudes of the differences are sensitive to the measurement method used, incomes in Britain are by far the most mobile. Our findings also reveal country‐specific driving forces that underlie income mobility. The stabilizing effects of government transfers are most pronounced in Canada. In Germany, it is the progressive tax system that offsets earnings variations and results in smaller changes in longitudinal incomes. Moreover, we also discover that demographic factors provided only limited explanation of differences in income mobility.
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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 | 0.001 | 0.001 |
| 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