Decomposing the Twin-peaks in the World Distribution of Output-per-worker
Bibliographic record
Abstract
This papers examines changes in the distribution of per-worker-output across countries over the period 1960-98, with a particular focus on identifying the forces behind the hollowing out of the middle of the distribution and the associated emergence of a twin-peaks phenomenon.The main finding of the paper is that most of the change in shape of the world distribution of income between 1960-1998 can be accounted for by changes in the parameters driving the growth process.In particular, we show that role of physical capital investment and population growth in affecting output growth has increased substantially over the period and that this increase can account for all the hollowing-out of the distribution.In contrast, we do not find that changes in the distribution of variables played much of a role, nor do we find any significant effects coming through non-linear convergence mechanisms or increased importance of education.Our results suggest that research aimed at understanding changes in the world distribution of income should focus on explaining why the social returns to physical capital accumulation where so high over the period 1978-98.The paper ends by discussing elements that help understand this phenomena.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".