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Record W2979359207

ЗАЛЕЖНІСТЬ РІВНЯ ЖИТТЯ НАСЕЛЕННЯ В УКРАЇНІ ВІД ПОЛІТИЧНИХ ЦИКЛІВ

2019· article· uk· W2979359207 on OpenAlexaboutno aff
Yuliia Shulyk, Elina Moroz

Bibliographic record

VenueScientific Notes of Ostroh Academy National University, "Economics" Series · 2019
Typearticle
Languageuk
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsUnemploymentPresidential systemEconomicsStandard of livingPoliticsPopulationQuarter (Canadian coin)Inflation (cosmology)Opposition (politics)Presidential electionDeficit spendingSocial Democratic PartyDevelopment economicsEconomic policyDemographic economicsPolitical scienceDemocracyEconomic growthMarket economyMacroeconomicsGeography
DOInot available

Abstract

fetched live from OpenAlex

In the article, the authors examine the dependence of the living standards in Ukraine from political cycles. The authors found that the political cycles represented by presidential elections have the strongest influence in Ukraine. Thus, the growth of minimum wages and pensions in 2000s (except 2016) in Ukraine depended on the presidential election. The increase in social standards and social benefits in the pre-election period increases the deficit of the State Budget of Ukraine, stimulating the growth of inflation after the election period. The authors found that the government predominantly increases the minimum social standards the quarter right before the election or in the quarter of elections, which confirms the stake of politicians on the short-sightedness of voters. The greatest growth of social standards occurred in 2005 and 2010, despite the state of the economy, when the opposition was coming to power.Such measures led to the growth of inflation in Ukraine in all the years following the elections, except in 2010 and 2012. In 2010, inflation was observed in the first half of the year. The growth of inflationary processes always led to a slowdown in economic development after the election period.Independence of the employment rates from the actions of political cycles is an important peculiarity in the economy of Ukraine. The most of candidate programs include the points about the increase in household incomes rather than reducing unemployment.During all election years there was an increase in incomes and real cash incomes of the population of Ukraine. However, the modeling of minimum wages and pensions dependence on elections in Ukraine showed a lack of citizens’ income. Governments do not use the state’s ability to develop and increase social guarantees. The timely growth of these indicators could have an impact on GDP growth and commodity turnover.This leads to an increase in the level of the shadow economy of Ukraine, the growth of the dollarization level in the election years and the devaluation of the monetary unit after the election. After significant depreciation fluctuations in the 1990s and early 2000s, Ukraine’s population took into account the effects of political cycles on foreign currency before the elections.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.004
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.005

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 head0.032
GPT teacher head0.213
Teacher spread0.182 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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Same venueScientific Notes of Ostroh Academy National University, "Economics" SeriesSame topicEconomic Issues in UkraineFrench-language works237,207