Investor Protection, Optimal Incentives, and Economic Growth
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
Does investor protection foster economic growth? To assess the widely held affirmative view, we introduce investor protection into a standard overlapping generations model of capital accumulation. Better investor protection implies better risk sharing. Because of entrepreneurs' risk aversion, this results in a larger demand for capital. This is the demand effect. A second effect (the supply effect) follows from general equilibrium restrictions. Better protection (i.e., higher demand) increases the interest rate and lowers the income of entrepreneurs, decreasing current savings and next period's supply of capital. The supply effect is stronger the tighter are the restrictions on capital flows. Our model thus predicts that the (positive) effect of investor protection on growth is stronger for countries with lower restrictions. Cross-country data provide support for this prediction, as does the detailed examination of the growth experiences of South Korea and India.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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