Inflation, Output, and Markup Dynamics with Forward-Looking Wage and Price Setters
Bibliographic record
Abstract
We formulate a medium-scale DSGE model that emphasizes a strong interplay between a roundabout production structure and a working capital channel that requires firms to borrow funds to finance the costs of all their variable inputs and not just the wage bill.Despite an absence of backward-looking price and wage indexation, our model is able to account for (i) a persistent and hump-shaped response of inflation to a monetary policy shock, (ii) a large and persistent response of output to a monetary policy shock, (iii) a mild "price puzzle," (iv) a procyclical price markup conditional on a monetary shock, (v) non-inertial responses of inflation to non-monetary shocks, and (vi) a negative unconditional autocorrelation of the first difference of inflation that is consistent with the data.A medium-scale model relying on backward indexation of wages and prices to past inflation fails along several of these dimensions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".