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Record W4403793405 · doi:10.54094/b-f268999ab2

Central Banking and Monetary Policy in the G20: Paradigms and Challenges [PDF, E-Books]

2024· book· en· W4403793405 on OpenAlexaboutno aff

Bibliographic record

VenueVernon Press eBooks · 2024
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsMonetary policyFinancial systemBusinessEconomicsMonetary economics

Abstract

fetched live from OpenAlex

Behind productive and prosperous economies are independent central banks that implement effective monetary policies. This observation is especially valid for the G20, which comprises the world’s top twenty economies in terms of gross domestic product and the largest stakeholders of the global economic system. These economies include Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Russia, Saudi Arabia, South Africa, South Korea, Turkey, the United Kingdom, the United States, and the European Union. Three features of this book, which focuses on central banking and monetary policy in the G20, an intergovernmental platform, stand out: Firstly, as contemporary theories and global practices confirm, the main purpose of central banks is to ensure monetary and price stability, not despite the government but in cooperation with it. This principle is strongly emphasized here. Governments, which must maintain fiscal discipline, are key to the success of central banks in combating inflation and deflation. Secondly, since the authors of the book chapters come from various countries and academic institutions, the book offers a range of perspectives and intellectual richness. Without deviating from the book's main axis, the authors examine the changing paradigms in central banking and the increasing challenges of monetary policy. This examination is based on developed and emerging economies, integrations, financial organizations, and economic crises within the G20, informed by significant sources. Thirdly, this book offers university researchers, professional business practitioners, and curious readers the opportunity to explore and reflect on new concepts such as green central banking, digital money, and interest-free monetary policies, which have gained prominence in the wake of the global COVID-19 pandemic, alongside mainstream topics. It is hoped that this book, consisting of 14 chapters, will inspire those who wish to conduct new and renewed academic studies on global central banks and monetary policies and will fill a gap in the literature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0020.003
Scholarly communication0.0110.007
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0170.007

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 head0.048
GPT teacher head0.227
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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