What drives the cross‐country growth and inequality correlation?
Bibliographic record
Abstract
Abstract. We present a neo‐classical model that explores the determinants of growth‐inequality correlation and attempts to reconcile the seemingly conflicting evidence on the nature of the growth‐inequality relationship. The initial distribution of human capital determines the long‐run income distribution and the growth rate by influencing the occupational choice of the agents. The steady‐state proportion of adults that innovates and updates human capital is path dependent. The output elasticity of skilled‐labour, barriers to knowledge spillovers, and the degree of redistribution determine the range of steady‐state equilibria. From a calibration experiment we report that a skill‐intensive technology, low barriers to knowledge spillovers, and high degrees of redistribution characterize the industrial countries with a positive growth‐inequality correlation. A negative correlation between growth and inequality arises for the group of non‐industrial countries with the opposite characteristics. JEL classification: E1, O4
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".