Rules, Discretion, and Corruption in Procurement: Evidence from Italian Government Contracting
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 benefits of bureaucratic discretion depend on the extent to which it is used for public benefit versus exploited for private gain. We study the relationship between discretion and corruption in Italian government procurement auctions, using a confidential database of firms and procurement officials investigated for corruption by Italian enforcement authorities. We show that discretionary procedure auctions (those awarded based on negotiated rather than open bidding) are associated with corruption only when accompanied by limits to competition. We further show that, while these "corruptible" discretionary auctions are chosen more often by officials who are themselves investigated for corruption, they are used less often in procurement administrations in which at least one official is investigated for corruption. These findings fit with a framework in which more discretion leads to greater efficiency as well as more opportunities for theft, and a central monitor manages this trade-off by limiting discretion for high-corruption procedures and locales. Overall, our results suggest that competition may allow procurement authorities to extract the benefits of discretion while limiting the resultant risks of abuse.
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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 | 0.009 | 0.007 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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