TECHNOLOGICAL SOURCES OF ECONOMIC GROWTH IN EUROPE AND THE U.S.
Why this work is in the frame
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Bibliographic record
Abstract
This paper assesses the role of different sources of technological change as determinants of economic growth in a group of selected OECD countries during the period 1980–2010. We consider three different sources of growth: neutral technical change associated with Total Factor Productivity, investment-specific technical change (ISTC) embodied in capital assets, and improvements in the quality of labor services generated by human capital accumulation. The contribution to growth of each of these sources is computed using two different approaches: the standard (statistical) growth accounting and the structural growth decomposition obtained from a general equilibrium growth model. We found that the effect of ISTC dominates that of neutral technology and human capital in all of the countries considered. On average, more than 50% of productivity growth is explained by ISTC. Contributions to growth from ICT and non-ICT technical change are in general of similar magnitude.
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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 | 0.002 | 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it