Industry Restructuring, Mark-ups, and Exchange Rate Pass-Through
Bibliographic record
Abstract
Consumer prices are not very responsive to movements in nominal exchange rates and their response has fallen in Canada since the mid 1980s. This paper explores two of the most likely explanations for this decline in exchange rate pass-through to consumer prices: (1) lower inflation and (2) restructuring in the retail sector. We believe that both explana-tions are important but our primary focus in this paper is on the second explanation. We discuss the restructuring that has occurred in Canadian retail and trends in mark-ups and concentration in that sector. We argue that to understand these trends, it is important to examine pass-through in industrial organization models with strategic elements. Finally, we present a series of such models and evaluate the effects of various forms of restructuring on mark-ups, concentration, and exchange rate pass-through. ∗Queen’s University †Bank of Canada ‡The authors thank Robert Amano, Stephen Arnold, and Allen Head for helpful discussions discussions and
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How this classification was reachedexpand
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".