Is the Economic Convergence of the Mexican States Possible? Estimates for the 1940-2013 Period
Bibliographic record
Abstract
In this paper we study β-convergence: absolute and conditional, also sigma convergence, using cross-state regression models, based in a long term period of time for the Federated States of Mexico. When absolute convergence is estimated (Solow Model, 1956) we found the negative sign expected but the result is not statistically reliable; while, estimates for decades only show absolute convergence for the period of 1960-1970, known with the term of "Mexican Miracle", a third regression including population growth rate and physical capital investment per capita, variables as considered by Solow models, confirm that there is not absolute convergence like the first result obtained. The estimate including human capital index (HCI) and human development index (HDI 2), shows a number of outliers, suggesting the introduction of proxy variables which capture the political effects and explore conditional convergence. When panel heteroskedastic is considerate, convergence is observed, but β 2% any case was estimated.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".