Residual demand measures of market power of Russian wheat exporters
Why this work is in the frame
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Bibliographic record
Abstract
Traditionally, the international wheat market has been considered a good example of a market with perfect competition. Yet, several articles provide evidence of imperfect competition and price discrimination in the wheat trade. However, these studies focused on traditional high-quality wheat exporters such as Canada and the United States. In contrast, this article investigates whether Russian wheat exporters exercise market power in eight selected importing countries using the residual demand elasticity (RDE) model. The article makes two major contributions. First, it focuses on a nontraditional exporter, who exports mainly wheat of mediocre quality to low- and middle-income countries. Second, the RDE model is estimated for the first time using a nonlinear estimator, the instrumental variable Poisson pseudo-maximum likelihood estimator. This is important because the double logarithmic functional form can provide biased results in the presence of heteroskedasticity. The results indicate that Russian wheat exporters can exercise market power in only a few markets, while they are price takers in the majority of importing countries.
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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) | 0.001 | 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) | 0.001 | 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 it