Real effects of price stability with endogenous nominal indexation, Bank of Canada Working Paper No
Bibliographic record
Abstract
We study a model with repeated moral hazard where financial contracts are not fully indexed to inflation because nominal prices are observed with delay as in Jovanovic & Ueda (1997). More constrained firms sign contracts that are less indexed to the nominal price and, as a result, their investment is more sensitive to nominal price shocks. We also find that the overall degree of nominal indexation increases with the uncertainty of the price level. An implication of this is that economies with higher price-level uncertainty are less vulnerable to a price shock of a given magnitude, that is, aggregate investment and output respond to a lesser degree. ∗We would like to thank Craig Burnside and Matthias Doepke for their helpful discus-sions. We also thank participants at the Annual Conference of the Canadian Economic Association, the conference on “Monetary Policy and Financial Frictions ” in Minneapolis, and seminars attendees at HEC Montreal, Queens University, University of Maryland.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".