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Record W1982153396 · doi:10.1111/0008-4085.00089

The markup and inflation: evidence in OECD countries

2001· article· en· W1982153396 on OpenAlexvenueno aff
Katharine S. Neiss

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsInflation (cosmology)Monetary policyWelfare economicsKeynesian economicsMonetary economics

Abstract

fetched live from OpenAlex

In this paper we evaluate the dynamic inconsistency argument put forth by Kydland and Prescott (1977) and Barro and Gordon (1983) as an explanation for differences in the average inflation experience across OECD countries. The focus is on the empirical evidence relating the overall degree of competition among firms, as measured by the markup of price over marginal cost, and inflation over the 1973–88 period. The prediction is that higher markups raise the monetary authority's incentive to increase output, leading to higher equilibrium rates of inflation. We find that the markup does well in explaining cross‐country differences in average inflation. JEL Classification: E31, E58, D43 L'écart du prix par rapport au coût marginal et l'inflation: résultats pour les pays de l'OCDE. Ce mémoire examine l'argument mis de l'avant par Kydland et Prescott (1977) et Barro et Gordon (1983) pour expliquer les différences dans le taux moyen d'inflation entre les pays de l'OCDE. On porte une attention spéciale aux résultats empiriques qui relient le degré général de concurrence entre les entreprises, mesuré par l'écart du prix par rapport au coût marginal, et le niveau d'inflation entre 1973 et 1988. La prédiction est que des écarts prix/coût marginal plus élevés augmentent l'incitation des autorités monétaires à accroître le niveau de production, ce qui entraîne des taux d'inflation d'équilibre plus élevés. Il s'avère que l'écart du prix par rapport au coût marginal tend à expliquer bien les différences dans le niveau moyen d'inflation entre pays.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.234
GPT teacher head0.195
Teacher spread0.039 · 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

Citations48
Published2001
Admission routes1
Has abstractyes

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