An Institutional Explanation for the Stickiness of Federal Grants
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
Researchers have struggled to understand why federal block grants, contrary to economic theory, have a large stimulative effect on the spending of state and local governments. This article proposes and tests an institutional explanation for this effect. We argue that certain budgetary rules, by limiting the ability of subnational governments to respond to voter demands for increased spending, may systematically force lawmakers to under-provide public goods. When this occurs, governments are likely to treat grant revenue as a supplement to total expenditures and not return this money to voters in the form of a tax cut as suggested by existing theory. To evaluate our hypothesis, we use data on the Community Development Block Grant program and municipal tax and expenditure limitations. Results show that restrictive fiscal institutions significantly increase the stimulative power of federal grant revenue. (JEL H7, H4, R5)
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 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 | 0.001 | 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