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Record W3121222486

A Stable 4% Inflation Could Get Canadians One Half Million More Jobs

2016· article· en· W3121222486 on OpenAlexaboutno aff
Pierre Fortin

Bibliographic record

VenueCahiers de recherche · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsInflation (cosmology)UnemploymentEconomicsWageGovernment (linguistics)Monetary policyInflation targetingMonetary economicsLabour economicsMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The Inflation-Control Agreement between the Government and the Bank of Canada is reviewed and renewed every five years. In this paper, I propose that the upcoming 2016 agreement increase the inflation target by 2 percentage points, from the current 2% to 4%. I first note that the room to stimulate economic activity and employment when the Bank of Canada judges that it is needed has narrowed dangerously in the past 25 years. I argue that the only fully effective means of freeing the Bank from the operational straightjacket into which it has fallen is setting the inflation target at 4% instead of 2%. I then report of evidence that the strong resistance of Canadian employers and employees to money wage cuts generates a significant permanent trade-off between inflation and unemployment at the macro level when inflation is less than 5%. Combining these two strands of observations, I conclude that moving to 4% inflation would generate about one half million more permanent jobs for Canadians and, over time, add some $50 billion per year to domestic income.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.002

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 head0.119
GPT teacher head0.359
Teacher spread0.240 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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