Why has the Employment-Productivity Tradeoff among Industrialized Countries been so strong?
Bibliographic record
Abstract
This paper is motivated by a set of cross-country observations on labor productivity growth among industrial countries over the period 1960-1997. In particular, we show that over this period, the speed of convergence among industrialized countries has decreased substantially while the negative effect of a country's own employment growth (or labor force growth) on labor productivity has increased dramatically. The main contribution of the paper is to show how these observations are consistent with the view that industrialized countries have been undergoing a particularly drastic technological revolution over the recent past. In effect, we show how the process of endogenous technological adoption, following the diffusion of a general purpose technology, can explain these observations by causing the emergence of an AK accumulation phase where demographic factors temporarily become an major determinant of labor productivity growth. Our estimation of the model implies that the AK phase has been in effect since the early to mid-seventies, but that this phase may now be coming to an end. An important contribution of the paper is to analyze growth experiences across advanced industrialized countries within an open economy framework and to evaluate the explanation by estimating a multicountry dynamic general model.
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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 | 0.017 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".