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Record W2562040489 · doi:10.15407/eip2016.02.037

Ukraine's exchange policy: a quarter of uncertainty

2016· article· en· W2562040489 on OpenAlexaboutno aff
Олександр Шаров

Bibliographic record

VenueEkonomìka ì prognozuvannâ · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)EconomicsMacroeconomicsGeography

Abstract

fetched live from OpenAlex

The article deals with the basic elements of the exchange policy during Ukraine's independence – including monetary sovereignty, the degree of currency convertibility, the exchange rate regime, the exchange control mechanism and cooperation with the international monetary fund. The author provides a detailed analysis of the problem of selecting the appropriate direction of the exchange policy and points to the continuing uncertainty about this choice, and hence the lack of efficiency of the exchange policy in general. Ukrainian practice makes you pay attention to such a characteristic of the exchange policy as its focus on the own currency, i.e. the introduction of legal rules governing the relationship arising through use of the national currency in the currency operations (foreign exchange transactions between residents and within non-residents). Given this, the exchange policy should be formed on the basis of the principles adopted in other areas of the economic policy in order to ensure the integrity of a strategic approach to achieve the goals of a comprehensive economic policy (including exchange relations). The exchange policy should provide coordination and reasonable relationship of different components of the economic policy, in both internal and external areas, including the distinct interaction between national and international institutions of the monetary regulation. Only the presence and the use of the above analytical framework of monetary policy – in the form of professionally prepared and politically coherent laws, concepts, strategies and action programs in various fields of economy and policies – could provide certainty, consistency and effectiveness of the state monetary policy. Unfortunately, Ukraine was forced to implement its exchange policy in the absence of almost all previous conditions, which caused the uncertainty of the state monetary policy as regards its key elements, such as a general orientation (goal), the degree of currency convertibility, the exchange rate regime, foreign exchange market and currency control institutions. In addition, the most negative way on the foreign policy reflected the general uncertainty about the economic policy and overall strategy for economic development. Such uncertainty caused a chain reaction of uncertainty as to some important elements of the exchange policy.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0070.004
Open science0.0000.003
Research integrity0.0020.003
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 head0.027
GPT teacher head0.236
Teacher spread0.208 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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