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Record W4317460528 · doi:10.55365/1923.x2022.20.76

The Quality of Tax Administration, Macroeconomic Stability and Economic Growth: Assessment and Interaction

2022· article· en· W4317460528 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
KeywordsShadow (psychology)EconomicsQuality (philosophy)Tax administrationAdministration (probate law)Stability (learning theory)MacroeconomicsTax policyPublic economicsTax reform

Abstract

fetched live from OpenAlex

The article deals with investigating the link between the quality of tax administration, macroeconomic stability and economic growth. The paper identifies the benefits and risks of the shadow operations for macroeco-nomic stability of the country. Based on the analysis of indicators of the effectiveness of tax policy implementation, an approach to assessing the quality of tax administration of the country was proposed. Based on empirical calcula-tions, a conclusion about the low quality of tax policy in the country was made. The study of the relationship be-tween the quality of tax administration and macroeconomic stability is based on the modified least squares method. The EU countries and Ukraine are identified as the statistical base of the study and the assessment period is 2005–2019. The results of modelling on the example of Ukraine and EU countries proved the relationship between the quality of tax administration of the country and level of its macroeconomic stability and shadow economy. All indi-ces are statistically significant at the level of 1% and 5% and 10% respectively. This research let the authors con-clude that it is necessary to take into account the quality of tax administration in forecasting the level of shadow economy and economic growth.

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)0.003
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 score0.781
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.051
GPT teacher head0.318
Teacher spread0.266 · 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