Public financing under balanced budget rules
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
This paper analyzes the impact of a balanced budget rule (BBR) on government financing costs and its implications for the government balance sheet. Exploiting the variation in BBR implementation across US states, we find that states with more stringent BBRs exhibit significantly lower bond spreads and credit default swap spreads, demonstrating the crucial role of default risk. A sovereign default model, which features long-term debt, endogenous investment and output, as well as a BBR, aligns with the empirical result. Calibrated to Illinois, our quantitative analysis suggests that implementing a BBR could dramatically decrease the state bond spread, gradually lower the debt, and improve welfare in the long run. • US states with more stringent BBRs have significantly lower state bond spreads. • BBRs are also associated with lower default risks. • A default model captures the interplay of BBR, debt, investment, and default risk. • BBRs improve government balance sheet and welfare in the long run.
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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 | 0.001 | 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) | 0.001 | 0.001 |
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