Income Convergence and trade Openness: Fuzzy Clustering and Time Series Evidence
Bibliographic record
Abstract
In the now extensive literature on the convergence of per capita income (output) across countries over time, there is surprisingly little attention paid to the role of international trade in goods and services. Some more recent studies have illustrated that standard trade theories provide no clear prediction as to the impact of trade liberalization on output convergence. These studies have also provided somewhat ambiguous empirical evidence regarding this relationship, under-scoring the need for additional results in this area. This paper uses both standard and new approaches to testing for convergence in order to explore the extent to which the degree of trade openness may affect output convergence among countries. Using annual time-series data for 88 countries from the Penn World Tables, we obtain somewhat mixed results, but on balance they are quite supportive of a positive relationship (though not necessarily causality) between trade openness and income convergence. These results also suggest certain directions that further research might take in order to shed more light on this important issue.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".