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Record W3124345461 · doi:10.32468/be.576

Central bank economic research: output, demand, productivity, and relevance

2009· preprint· en· W3124345461 on OpenAlexaboutno aff
Miguel Sarmiento

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCentral bankPosition (finance)ProductivityRelevance (law)Sample (material)Latin AmericansEconomicsOfficial cash rateBank rateBusinessFinancial systemRegional scienceMonetary policyPolitical scienceFinanceMacroeconomicsGeography

Abstract

fetched live from OpenAlex

The economic research of 30 central banks in OECD and Latin America countries from 2000 to 2007 is evaluated in this study. An international comparison based on four indexes that measure central bank research output, demand, productivity and relevance is included. From this view, the European Central Bank, the United States Federal Reserve Bank-Board of Governors- and the Bank of Canada showed the best results. The Central Bank of Colombia achieves an important position among the central banks selected for the study and holds that position in most of the indexes. Three aspects of research were examined in depth: i) focus of the research agenda, ii) the way research is organized, and iii) strategies for its development for six leading central banks in the sample, based on the results of the measure, including the Central Bank of Colombia. The study shows a tendency of central banks to develop studies with academic institutions. This practice allows them to broad the range of their analysis, by having an outside perspective, while getting expertise with recent techniques and theories for better economic analysis, which contributes to policy design.

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)0.003
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 score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.117
GPT teacher head0.312
Teacher spread0.195 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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