Dynamic Causal Effects of Post-Migration Schooling on Labour Market Transitions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Immigrants often experience difficulties integrating the local labor market. In Canada, the government of Quebec implemented a program back in 1996 that explicitly selected highly qualified workers (Bachelors’, Masters’ or PhD’s). This paper investigates the extent to which the return to foreign-acquired human capital is different from the education acquired in Quebec. Specifically, we seek to estimate the benefits of post-migration education over foreign-education on the transitions between qualified and unqualified jobs and unemployment by means of a multiple-spells and multiple-states model. Our results indicate that immigrants originating from well-off countries have no need to further invest in domestic education. On the other hand, immigrants from poorer countries, despite being highly qualified, benefit greatly from such training in the long run as it eases their transitions into qualified and unqualified jobs and out of unemployment. Our results also indicate that selection into domestic education needs to be accounted for to avoid significant selection problems.
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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 | 0.002 | 0.003 |
| 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