Skill differentiation and wage disparity in a decentralized matching model of North–South trade
Bibliographic record
Abstract
In this paper we develop a North–South trade model in which the South produces food and the North produces both food and a high–tech good. Food production is undertaken by unskilled workers, while the high–tech product is made only by horizontally differentiated skilled workers. Owing to the possibility of a peer–group effect, we allow the unskilled workers in the North to be equally or more productive than in the South. Horizontal matching of skilled workers is generally imperfect and the skilled wages are determined by a symmetric Nash bargain. We characterize two different types of equilibrium: a closed–economy equilibrium without trade and a free trade equilibrium without labour mobility. We then extend the benchmark framework to consider the presence of transport costs. In all cases with trade, the equilibrium properties of goods pricing, the volume of trade as well as between–group and within–group wage inequality are examined. JEL Classification: F10, D51, D63, J31 Différentiation d’habiletés et disparité de salaires dans un modèle décentralisé de commerce nord–sud dans lequel les habiletés sont arrimées. Ce mémoire développe un modèle de commerce international nord–sud dans lequel le Sud produit de la nourriture et le Nord produit à la fois de la nourriture et un bien de haute technologie. La production de la nourriture nécessite seulement une main d’œuvre non–spécialisée, alors que la production du bien de haute technologie réclame seulement une main d’œuvre spécialisée et différentiée horizontalement. On assume que les travailleurs non–spécialisés dans le Nord sont aussi productifs ou plus productifs que ceux dans le Sud. Pour ce qui est des travailleurs spécialisés, l’arrimage horizontal est généralement imparfait et les salaires sont déterminés par une négociation symétrique à la Nash. On définit deux types d’équilibres : un équilibre en économie fermée sans commerce international, et un équilibre de libre échange sans mobilité des travailleurs. On étend alors le cadre de référence pour prendre en compte les coûts de transport. Dans tous les cas où il y a commerce international, on examine les propriétés en équilibre des prix des biens, du volume de commerce ainsi que de l’inégalité de salaires tant entre les groupes qu’à l’intérieur des groupes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".