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Record W4312691209 · doi:10.55365/1923.x2022.20.39

Monetary Measures of Macroeconomic Regulation of the National Economy

2022· article· en· W4312691209 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReview of Economics and Finance · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsMonetary policyRecessionMonetary economicsFiscal policyExchange rateMacroeconomicsUnemploymentEconomic stabilityEconomic policy

Abstract

fetched live from OpenAlex

Monetary policy occupies one of the key positions in macroeconomic regulation, on the effective implementation of which the stability of economic growth, the reduction of unemployment to natural levels etc. The purpose of the study is to identify the results of the practical application of the monetary theory's theoretical generalisations for the use of effective monetary policy instruments in Ukraine under conditions of socio-economic instability and weak inclusive institutions of national economy development. The study systematises the main vectors of monetary policy improvement and possibilities of its adjustment. By analysing the key aspects of the institutional framework for monetary regulation under conditions of financial instability, it is established that, in coordinating fiscal and monetary policy, the independence of the central bank should be the primary condition for the construction of an optimal macroeconomic policy. The results of the study underline: price stability should be a prerequisite for the resumption of lending and economic activity after the recession caused by the cyclical crisis exacerbated by the COVID-19 pandemic. The results obtained provide insight into the current state and prospects of developing monetary policy in Ukraine, which in turn should be oriented not towards matching the exchange rate parameters with the volume of domestic government bonds issue (DGBs), but towards ensuring strict fiscal measures aimed at overcoming the effects of the budget crisis and achieving macroeconomic balance.

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)0.001
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 score0.775
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.039
GPT teacher head0.222
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