Discussion by Linda Goldberg of “Exchange Rate Variability and Investment in Canada”
Bibliographic record
Abstract
The main premise of this paper is that it is important to consider the effects of exchange rate movements on real economic activity in order to evaluate the implications of flexible exchange rates. In order to accomplish this task, Robert Lafrance and David Tessier focus on the responsiveness of investment activity in Canada to levels of the Canadian dollar and to the volatility of the Canadian dollar. This dimension of real activity is a key one to explore in detail, since investment fluctuations are an important component of levels and volatility of aggregate business cycles. The authors have provided a well-articulated and carefully organized piece on the relationship between investment and exchange rates. The paper begins with a thorough and thoughtful exposition of the competing arguments for profitability and investment effects arising from exchange rate movements. The authors also survey the existing evidence on this subject, noting those studies that are particularly relevant for Canada. Beyond this literature overview, the main contribution of the paper is a detailed analysis of the linkage between Canadian investment and exchange rates. There are three types of aggregate investment measures examined: by Manufacturing industries, by a subset of the
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".