Notice bibliographique
Résumé
Federal regulatory activity surges during the final quarter of presidential election years that result in a change in administrations. Scholars such as Jay Cochran, Antony Davies and Veronique de Rugy, and Anne Joseph O’Connell have well-documented the phenomenon of “midnight regulations” promulgated between Election Day and Inauguration Day. One common criticism of midnight regulations is that the quality of analysis accompanying these regulations is likely to be lower than those accompanying earlier or later regulations, possibly because more regulatory activity tends to stretch the Office of Information and Regulatory Affairs’s limited resources for reviewing regulations — and perhaps also taxes agencies’ own resources. But is there statistical support for this criticism of midnight regulations? In a recent study, we tested this claim by using score data from the Mercatus Center’s Regulatory Report Card. The Report Card consists of expert assessments of the regulatory impact analyses (RIAs) that must accompany economically significant regulations. The experts rank RIAs on a Likert scale of zero to five using criteria derived from Executive Order 12866 and OMB Circular A-4. As we detailed in an earlier The Regulatory Review essay, the Report Card assesses the quality of RIAs and the extent to which issuing agencies claim to have used the analysis to make decisions. Because we started using the Report Card to evaluate the quality of RIAs for regulations proposed in 2008, the score data include the Bush administration’s midnight regulations. The accompanying chart illustrates graphically what we found econometrically. On average, midnight regulations have slightly lower Report Card scores than other regulations. However, the difference in mean scores between the two groups is not statistically significant. Instead, our research did reveal two related groups of regulations with statistically significant lower average scores than all rules overall: midnight regulations proposed after June 1, 2008 (“rushed midnight regulations”), as well as regulations proposed after June 1, 2008, but left for the Obama administration to finalize (“rushed leftovers”). The Bush administration tried to limit the presence of midnight regulations by finalizing regulations before Election Day. More specifically, the Bush administration instructed agencies that all regulations they planned to finish before the end of the Bush presidency should be proposed by June 1, 2008, and finalized by November 1, 2008. We found that these rushed midnight regulations indeed had lower-quality analysis, and the difference was statistically significant. Rushed midnight regulations also had significantly lower scores for use of analysis. We also found that the rushed leftovers had lower scores for use of analysis, and this difference was also statistically significant. Our findings lead us to conclude that for rushed leftovers decisionmakers were less likely to explain how the analysis affected their decisions or how they planned to evaluate the regulations’ performance in the future. We do not know if this occurred because these were supposed to be midnight regulations that did not quite beat the clock, or because outgoing officials knew that the final decisions would be made by the next administration so they felt less need to justify the regulations based on analysis. While it may not be possible yet to discern the precise motivations or reasons for our empirical results, the key finding is important. The rushed nature of regulations proposed after June 1, 2008, appears to have been responsible both for the lower quality and diminished use of regulatory impact analysis.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,057 | 0,014 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».