Decentralization or Fiscal Autonomy? What Does Really Matter? Effects on Growth and Public Sector Size in European Transition Countries
Bibliographic record
Abstract
This paper examines the importance of \n fiscal autonomy in the analysis of decentralization. Using \n new data published by the OECD (2001 and 2002), it \n reproduces several indicators and proposes new measures of \n decentralization that take into consideration su-bnational \n governments' autonomy over their revenues. Two models \n are reproduced: Davoodi and Zou (1998) on decentralization \n and economic growth, and Oates (1985), on decentralization \n and public sector size. Some evidence suggests that fiscal \n autonomy positively affects economic growth. Also, it seems \n to affect the size of the state, but evidence on this \n relation is limited. Despite some statistical weaknesses, \n there are sufficient indications to argue that sub-national \n governments' fiscal autonomy should be a major concern \n when measuring decentralization.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".