Do Financial Arrangement of the International Monetary Fund Has Impact on the Reduction of Government Spending, Evidence through Political Fiscal Cycles, the Case of Croatia
Bibliographic record
Abstract
<p><em>This paper examines the regulatory role of the IMF on government spending through political fiscal cycles. According to theoretical views, the fiscal policy in the pre-election period reflects an increase in government spending or budget expenditures; in postelection period, it takes a restrictive course by reducing spending. In the presence of a contractual agreement with the IMF, the theory points to limiting and reducing the magnitude of government spending in the pre-election period. According to the research results in Croatia, there is an increase in government spending in the election quarter, and its decrease in the quarter after the election. On the other hand, the contractual arrangements with the IMF show significant reductions in government spending. When a country is under a contractual obligation with the IMF, it reduced the government spending in the pre-election period in relation to the period when it is not under a contractual obligation.</em></p>
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".