Blocked mobility or unemployment risk? Labour market transitions of natives and immigrants in Switzerland
Bibliographic record
Abstract
Cross-sectional literature has shown that in Switzerland as elsewhere immigrants are more penalized than the native-born population both considering the unemployment risk and their position in the employment structure. Using a longitudinal framework, the present article focuses on a comparison between male immigrants and natives in the Swiss labour market, analysing two risks: the risk of unemployment and the risk of entrapment in unskilled occupations. In the first part of the article, using a dynamic random effect models, we show that immigrants present less state dependence than natives considering both unemployment and the risk of entrapment in unskilled positions. In the second part, using Heckman selection models, we show that less state dependence of immigrants corresponds to a higher mobility towards the skilled working class that is limited to the secondary labour market. We explain these differences with the interplay of Swiss labour market characteristics, in particular, the need for high flexibility and the positive selection of immigrants whose access to the Swiss labour market is generally realized through the bottom of employment structure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".