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Record W3021805686 · doi:10.1111/1540-5982.00127

Tight money policies and inflation revisited

2002· article· en· W3021805686 on OpenAlexvenueno aff
Joydeep Bhattacharya, Noritaka Kudoh

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsKeynesian economicsInflation (cosmology)Capital (architecture)MonetarismMonetary policyEconomyHumanitiesMonetary economicsPhilosophyHistoryPhysics

Abstract

fetched live from OpenAlex

In this paper we reconsider the link between tight money policies and inflation in the spirit of Sargent and Wallace’s (1981) influential paper, ‘Some unpleasant monetarist arithmetic.’ A standard neoclassical model with capital, bonds, and return‐dominated currency is used. The potential for tight‐money policies to be inflationary (unpleasant arithmetic) exists, even when the real interest rate is below the growth rate of the economy. Additionally, the likely observability of unpleasant arithmetic in real world economies is shown to depend crucially on the type of monetary policy rule that is used. JEL Classification: E52, E63 Un autre coup d’œil sur la relation entre politiques monétaires restrictives et inflation. Ce mémoire ré‐examine la relation entre politiques monétaires restrictives et inflation dans l’esprit du travail de Sargent et Wallace (1981) ‘Some Unpleasant Monetarist Arithmetic’. Les auteurs utilisent un modèle néo‐classique standard avec capital, débentures et une monnaie dont les rendements sont dominés par ceux d’autres réservoirs de valeur. La possibilité que les politiques monétaires restrictives soient inflationnistes existe même quand le taux d’intérêt réel est plus petit que le taux de croissance de l’économie De plus on montre que l’obtention de ces résultats déplaisants dans les économies concrètes dépend fondamentalement du type de règle monétaire qu’on utilise.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.135
GPT teacher head0.167
Teacher spread0.033 · 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 designTheoretical or conceptual
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

Citations20
Published2002
Admission routes1
Has abstractyes

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