Estimation of the rate of return to capital in the East African Community (EAC) Countries
Bibliographic record
Abstract
The real rate of return to capital plays a vital part in the economy in evaluating the contribution of capital investment to the economic growth. As it is also a key variable in estimating the economic opportunity cost of capital for use as the economic discount rate in investment decision-making. The objective of this study is to estimate the economic real rates of return to reproducible and remunerative capital of the EAC economies. The results indicate that the real rates of return to reproducible capital over the period 1999–2016 have averaged 10.70% in Kenya and Rwanda, while it averaged 12.05% and 9.86% in Tanzania and Uganda, respectively. With regard to the marginal rates of return to remunerative capital, the results suggest that EAC countries have averaged 16.28%, 16.21%, 15.07% and 14.49% in Tanzania, Rwanda, Kenya and Uganda, respectively, over the same period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".