Home Bias in Primary Agricultural and Processed Food Trade: Assessing the Effects of National Degree of Uncertainty Aversion
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
Abstract This study investigates the effects of national degrees of uncertainty aversion (unfamiliarity avoidance) on the magnitude of bias towards domestic products rather than imports. The empirical analysis is implemented for primary agricultural and processed food products, using a panel dataset covering trade between and within OECD countries. Primary agricultural products are often blended and associated with reference prices. Conversely, processed food products exhibit higher levels of product differentiation. The empirical results confirm expectations by emphasizing the magnifying effects of uncertainty aversion on home bias in the case of processed food products but not in the case of primary agricultural products. These magnifying effects are primarily associated with processed food products destined for final household consumption. Other results reveal significant variations between different countries (based on geo‐economic and national income categories). Our results also indicate that home bias and uncertainty aversion effects on home bias have not decreased over time. The empirical results remain robust under different estimation methods.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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