The Quality of Tax Administration, Macroeconomic Stability and Economic Growth: Assessment and Interaction
Why this work is in the frame
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Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it