Are Russian Wheat Exporters Able to Price Discriminate? Empirical Evidence from the Last Decade
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Significant changes have taken place in the world wheat market in the last decade. Russia, a former net wheat importer, has become a leading exporter with a world market share of 11.2% in 2009. This increasing importance and the discussion about the establishment of a grain‐OPEC consisting of Ukraine, Kazakhstan and Russia has raised the issue of pricing behaviour of Russian wheat exporters. Although there are several studies on the pricing behaviour of Canadian and US wheat exporters, there is none so far for Russian wheat exporters. This study provides a quantitative analysis of the pricing behaviour of Russian wheat exporters, explicitly taking account of the export tax imposed between 2007 and 2008. We employ a pricing‐to‐market (PTM) model on quarterly Russian wheat‐export data, covering the period from 2002 to 2010 and 25 export destinations. Our findings indicate that (i) Russian wheat exporters exercised PTM in only a few importing countries over the whole time period, and (ii) PTM behaviour was more pronounced in the aftermath of the export tax period (i.e. 2008–2010) than before.
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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 | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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