The Long-Term Economic Impact of Reducing Migration in the UK
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
This paper uses an OLG-CGE model for the UK to illustrate the long-term effect of migration on the economy. We use the current Conservative Party migration target to reduce net migration “from hundreds of thousands to tens of thousands” as an illustration. Achieving this target would require reducing recent net migration numbers by a factor of about 2. We undertake a simulation exercise to compare a baseline scenario, which incorporates the principal 2010-based ONS population projections, with a lower migration scenario, which assumes that net migration is reduced by around 50 per cent. The results show that such a significant reduction in net migration has strong negative effects on the economy. By 2060 the levels of both GDP and GDP per person fall by 11.0 per cent and 2.7 per cent respectively. Moreover, this policy has a significant impact on public finances. To keep the government budget balanced, the effective labour income tax rate has to be increased by 2.2 percentage points in the lower migration scenario.
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.
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 | 0.003 | 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