Implications of Uncertainty about Long-Run Inflation and the Price Level
Bibliographic record
Abstract
This paper surveys recent developments in the theoretical and empirical literature on the economic implications of uncertainty about the longer-term outlook for inflation. In particular, the linkages between inflation, long-run inflation uncertainty, and aggregate economic activity in industrial economies have become considerably better understood during the past decade. In the case of Canada, there is evidence that uncertainty about long-run inflation fell considerably between the high-inflation period of the 1970s and early 1980s and the subsequent moderate-inflation period, and decreased still further in the low-inflation period that has been evident since the early 1990s. As a result, both businesses and households have increasingly used longer-term financial instruments to meet their financing needs over the past two decades. In general, recent empirical work for Canada and elsewhere considerably strengthens the view that reductions in long-run inflation uncertainty can have beneficial effects on financial markets, capital spending, and ultimately aggregate levels of economic activity. Recent theoretical developments have improved our understanding of why this is so.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".