Investing Public Pensions in the Stock Market: Implications for Risk Sharing, Capital Formation and Public Policy in the Developed and Developing World
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Concerns that existing public pension systems will be unable to pay benefits to a rapidly ageing population without sharp tax increases, and the prospect of higher average returns on stocks than on government securities, are drawing the attention of policy–makers worldwide to the option of investing public pension assets in stocks. Including stock market investments in public pension plans could improve risk sharing within and between generations, and could perhaps lead to faster market development in some countries. It could also result in excessive risk–taking, higher transactions costs and a false sense of increased financial security. This paper assesses these issues, with an emphasis on the considerations that are of special importance to developing markets. A contrast is drawn between the demographic outlook in East Asia and the major industrialized countries. Some lessons are drawn from the reform experience in Chile and elsewhere in Latin America.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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