On the impact of trade openness on growth: further evidence from OECD countries
Why this work is in the frame
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Bibliographic record
Abstract
This study attempts to examine empirically the implications of the degree of openness for total and individual factor productivity growth in a group of 19 OECD countries over the last three decades. The study combines both time series and cross-sectional data. The model employed is a generalization of the commonly used, growth-accounting model based on the concept of an aggregate production function in which the rate of economic growth is a function of capital and labour accumulation and total factor productivity. It is explicitly assumed that total factor productivity depends, in turn, upon the rate of export expansion. The model is then estimated using the random coefficients approach. While results generally indicate that the relative importance of trade openness on economic growth varies significantly across countries, they also indicate that the role of capital and labour accumulation in fostering economic growth varies with the degree of openness, cross-sectionally as well as across time.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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 it