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Record W3124949915

Is Monetary Financing Inflationary? A Case Study of the Canadian Economy, 1935-75

2015· preprint· en· W3124949915 on OpenAlexaboutno aff
Josh Ryan‐Collins

Bibliographic record

VenueRePEc: Research Papers in Economics · 2015
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsMonetary policyInflation (cosmology)DebtMonetary economicsMoney creationFiscal policyInterest rateFinanceMacroeconomicsCentral bank
DOInot available

Abstract

fetched live from OpenAlex

Historically high levels of private and public debt coupled with already very low short-term interest rates appear to limit the options for stimulative monetary policy in many advanced economies today. One option that has not yet been considered is monetary financing by central banks to boost demand and/or relieve debt burdens. We find little empirical evidence to support the standard objection to such policies: that they will lead to uncontrollable inflation. Theoretical models of inflationary monetary financing rest upon inaccurate conceptions of the modern endogenous money creation process. This paper presents a counter-example in the activities of the Bank of Canada during the period 1935-75, when, working with the government, it engaged in significant direct or indirect monetary financing to support fiscal expansion, economic growth, and industrialization. An institutional case study of the period, complemented by a general-to-specific econometric analysis, finds no support for a relationship between monetary financing and inflation. The findings lend support to recent calls for explicit monetary financing to boost highly indebted economies and a more general rethink of the dominant New Macroeconomic Consensus policy framework that prohibits monetary financing.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.075
GPT teacher head0.307
Teacher spread0.232 · 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 teacher head, not a consensus.

Study designObservational
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

Citations2
Published2015
Admission routes1
Has abstractyes

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