THE IMPACT OF INFORMATION TECHNOLOGY ON LABOR PRODUCTIVITY GROWTH: EVIDENCE FROM FIVE OECD COUNTRIES, 1970-1990
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Bibliographic record
Abstract
This paper examines the impact of information technology (IT) on labor productivity growth using industry-level data for five OECD countries (the United States, Canada, Japan, France, and the United Kingdom), from 1970 to 1990. Empirical findings show that IT investment has a positive effect on labor productivity growth, accounting for about 15 percent of this growth. The benefit of IT investment was on average lower than its cost over the 1970-1990 period, which implies that new IT investment had not been efficiently used in the early period of IT adoption. The benefit per dollar cost was almost two times greater in the 1980s than in the 1970s, which is mainly due to a rapid fall in IT prices.
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.009 |
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