Fiscal Decentralization with Regional Redistribution and Risk Sharing
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.
Bibliographic record
Abstract
The paper examines the incentive effects of intergovernmental transfers on regional government spending levels in a multi-period model. The focus is on the repeated strategic interaction between the regional and federal governments and the exploration of the factors influencing the federal government's incentive to create soft budget constraints. The paper models the time-path of regional government spending when regional governments face uncertainty in regard to the federal government's ability to commit to its announced transfer scheme. The results show that in the presence of small shocks to regional endowments, the softness of regional government budget constraints increases over time if the federal government has a known finite mandate. Large shocks, however, can result in discrete changes in regional government spending that persist for the remainder of the federal government's mandate. The paper also shows how the time-path of regional government spending depends on the discount rate, the time horizon, and the regional governments’ prior uncertainty regarding the federal government's commitment ability.
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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 | 0.000 | 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 | 0.000 |
| 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