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Record W2943205177 · doi:10.1111/ecin.12798

INFLATION DYNAMICS AND THE OUTPUT‐INFLATION TRADE‐OFF: INTERNATIONAL PANEL DATA EVIDENCE

2019· article· en· W2943205177 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEconomic Inquiry · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsBlackberry (Canada)
Fundersnot available
KeywordsEconomicsInflation (cosmology)Panel dataContext (archaeology)EconometricsEstimationSample (material)MacroeconomicsNew Keynesian economicsMonetary economicsMonetary policy

Abstract

fetched live from OpenAlex

We explore the impact of inflation and its variability on the output‐inflation trade‐off using a single‐step approach in a panel data context. Previous empirical approaches focus on either cross‐country or country‐by‐country time‐series analyses. We employ a dynamic heterogeneous panel specification using an all‐encompassing estimation framework accounting for parameter heterogeneity, cross‐sectional dependence, dynamics, and nonstationarity. Our sample covers 60 countries from 1970 to 2010. While inflation variability reduces the trade‐off for specific periods and country groups, an unambiguous and more pronounced negative relation emerges between the inflation rate and the trade‐off. The findings are consistent with the New Keynesian view. ( JEL E31, E12, C23)

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.188
GPT teacher head0.283
Teacher spread0.095 · 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