Price discrimination within and across EMU markets: Evidence from French exporters
Why this work is in the frame
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Bibliographic record
Abstract
We study the cross-sectional dispersion of prices paid by EMU importers for French products. We document a significant level of dispersion in unit values both within product categories across exporters, and within exporters across buyers. This latter source of price discrepancies, which we call price discrimination, reflects the ability of exporters to sell similar or differentiated varieties of a given product at different prices to different buyers. Price discrimination (i) is substantial within the EU, within the euro area, and within EMU countries; (ii) has not decreased over the last two decades; (iii) is more prevalent among the largest firms and for more differentiated products; (iv) is lower among retailers and wholesalers; (v) is also observed within almost perfectly homogenous product categories, which suggests that a non-negligible share of price discrimination is partly triggered by heterogeneous markups rather than quality or composition effects. We then estimate a rich statistical decomposition of the variance of prices to shed light on exporters' pricing strategies.
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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) | 0.000 | 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) | 0.001 | 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