The Impacts of Economic Sanctions on Food (Prices) Security: Evidence From Targeted Countries
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Our paper examined the impact of economic sanctions on food prices and security. Anecdotal evidence suggests that food security is threatened in nations subject to sanctions. However, the causal link has not been proven. We employ a two‐way fixed‐effects approach and leverage the entropy balancing technique to ascertain the existence of a causal link. Our analysis relies on the Global Sanctions Database for sanctions and the FAOSTAT database for food security proxies: food prices and prevalence of undernourishment (PoU). Sanctions increase food prices: during the sanctions period, real food prices are higher by 1.24 percentage points compared to the non‐sanctions period. Although the increase in food prices is marginal, overall food security is threatened, as the PoU is 2.1 percentage points higher during sanctions compared to periods without sanctions.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it