Migration Policies and Labour Market Outcomes: Insights from Developed Countries
Bibliographic record
Abstract
Work highlights the analytical developments in migration economics while critically examining the complex relationship between migration and labour market results in industrialised nations. Our understanding of migratory dynamics has been improved by various techniques, such as structural models, instrumental variables, and natural experiments; nevertheless, the ensuing methodological heterogeneity makes it more difficult to compare results across investigations. One important aspect determining how migration affects the labour market is the skill makeup of immigrants, which is controlled by selective immigration policy. In response to workforce shortages and to promote economic growth, nations including the United States, Canada, and the United Kingdom are progressively controlling the number of skilled immigrants entering their countries. The degree of substitutability between native and immigrant workers is a crucial factor in influencing employment patterns and wage structures, as this study emphasises. It shows that although immigrants might supplement the abilities of native workers, especially in high-demand industries, they can also increase competition for low-skilled employment, which could result in wage suppression. A key component of migrant contributions is still economic integration, where issues like language ability and acceptance of foreign credentials influence the path of their careers. This study also covers the positive benefits of immigration on native workers' task specialisation, acceptance of new technologies, and human capital growth. The paper finds that regulated migration can increase economic dynamism and productivity despite obstacles including social conflicts and political resistance. Developed nations may promote a labour market that benefits both native workers and immigrants by putting in place efficient policies that handle the opportunities and problems presented by migration. This will eventually result in an economy that is more robust and innovative.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".