Bibliographic record
Abstract
The goal of this paper is to shed light on the nature of the monetary transmission mechanism. Specifically, we attempt to tackle two problems in standard limited-participation models: (1) the interest rate liquidity effect is not as persistent as in the data; and (2) some nominal variables are unrealistically volatile. To address these problems, we introduce nominal wage and price rigidities, as well as portfolio adjustment costs and monopolistically competitive firms, to better understand how each of these costs affects the size and length of the liquidity effect following a central-bank policy action. Quantitative analysis shows that including these rigidities does improve the model, to some extent at least, in the expected manner. The main findings are: (1) wage and portfolio adjustment costs are able to deepen and lengthen the liquidity effect following a monetary policy action; (2) these two adjustment costs, especially wage adjustment costs, can reduce inflation volatility; (3) price adjustment costs, at least under money-growth policy rules, cause excessive interest-rate volatility and are unable to significantly reduce inflation volatility.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".