MétaCan
Menu
Back to cohort
Record W1525569412

The Effects of Monetary-Policy Shocks on Real Wages: A Multi-Country Investigation The Effects of Monetary-Policy Shocks on Real Wages: A Multi-Country Investigationv

2006· article· en· W1525569412 on OpenAlex
Michel Normandin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCahiers de recherche · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsMonetary policyReal wagesWageMonetary transmission mechanismMonetary economicsYield (engineering)MacroeconomicsInflation targetingCredit channelLabour economics
DOInot available

Abstract

fetched live from OpenAlex

This paper assesses the plausibility of popular models of the monetary transmission mechanism for the G7 countries. For this purpose, flexible structural vector autoregressions are used to relaxe the restrictions behind the traditional identifying schemes of monetary-policy shocks and their effects on macroececonomic variables, and in particular, on real wages. The estimates reveal that expansionary monetary-policy shocks produce declines of real wages for Canada, France, and the United Kingdom. This is consistent with sticky-wage models and suggests that labor-market frictions constitute prime features of these economies. In constrast, positive monetary-policy shocks yield increases of real wages for Germany, Italy, Japan, and the United States. This is consistent with sticky-price models and limited-participation models, so that goods-market frictions and/or financialmarket frictions seem important characteristics of these economies. Finally, the standard identifying restrictions are often statistically rejected and produce severe distortions of real-wage responses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.070
GPT teacher head0.284
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it