Unconventional Monetary Policy Shocks in OECD Countries: How Important is the Extent of Policy Uncertainty?
Bibliographic record
Abstract
We study the effects of unconventional monetary policy shocks on output, inflation and uncertainty using a sign restricted panel VAR over the monthly period of 2008:1-2015:1. Our sample includes primarily OECD countries (Canada, Germany, France, Italy, Japan, Spain, UK and US) that reached the interest rate zero lower bound in response to the recent financial crisis. Central bank balance sheets are used to gauge the size of unconventional monetary policy reactions to the crisis. We control for the degree of uncertainty by estimating the economic response to balance sheet shocks in two economic states: high versus low uncertainty. We use sign restrictions to identify our shocks, but remain agnostic regarding price and output responses to balance sheet shocks. We show that the mean group response of prices and output increases in response to monetary policy. The results, however, vary by country and are sensitive to the degree of uncertainty. Prices and output do not necessarily increase uniformly across countries.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".