TFP Differences and the Aggregate Effects of Labor Mobility in the Long Run
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
The coexistence of barriers to labor mobility with large output-per-worker disparities driven by Total Factor Productivity (TFP) differences suggests that the world's labor force is misallocated across countries. We investigate the extent and consequences of this potential misallocation in the context of a simple two-location growth model, in which production requires capital, labor and an essential immobile factor (land). We characterize the magnitude of labor movements implied by an efficient long-run allocation, and derive their implications for capital accumulation. Quantitatively, even for moderate TFP differences, we find substantial increases in world output associated with efficient allocations. These output increases are driven by large movements of labor from low to high TFP countries, as well as by a sizeable increase in the capital stock and changes in its endogenous division across countries. Our results are robust to a large set of parameter values, including unrealistically conservative ones.
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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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