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Record W4226502877 · doi:10.2298/pan2202247s

Problems and challenges of Avramovic stabilization program quarter of a century later

2022· article· en· W4226502877 on OpenAlexaboutno aff
Dejan Šoškić

Bibliographic record

VenuePanoeconomicus · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
FundersMinistarstvo Prosvete, Nauke i Tehnološkog Razvoja
KeywordsSerbianCurrencyInflation (cosmology)GovernorPosition (finance)MontenegroFinancial systemIndependence (probability theory)PashaQuarter (Canadian coin)Monetary policyEconomic policyBusinessEconomicsFinanceMonetary economicsGeographyEngineeringRegional science

Abstract

fetched live from OpenAlex

Avramovic accepted a position of a governor of Central bank of Yugoslavia (at that time, consisted of Republic of Serbia and Republic of Montenegro) in 1994. He has successfully executed one of the most effective anti-inflation programs in an adverse financial environment and without international support. This paper deals with some of the basic problems Avramovic has faced twenty five years ago, most of which have left visible consequences up to present day. They still nowadays present important weaknesses of Serbian monetary and financial system. First of those problems is low institutional independence of Serbian central bank. Second problem Avramovic was facing was lack of confidence in the banking system. Third problem Avramovic was facing at the time of his Program was lack of confidence in the local currency. These features, although less pronounced, still remain a burden for Serbian financial system. They increase lending risks, weaken monetary policy tools, and decrease rates of growth to this day.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

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

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 head0.029
GPT teacher head0.212
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2022
Admission routes1
Has abstractyes

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