Independent Agencies and Research Program Performance.

Bush Administration Program Assessment Rating Tool executive branch federal programs government performance independent agencies research metrics

Journal

Frontiers in research metrics and analytics
ISSN: 2504-0537
Titre abrégé: Front Res Metr Anal
Pays: Switzerland
ID NLM: 101718019

Informations de publication

Date de publication:
2022
Historique:
received: 17 01 2022
accepted: 29 04 2022
entrez: 10 6 2022
pubmed: 11 6 2022
medline: 11 6 2022
Statut: epublish

Résumé

Combining performance data from the Bush Administration's Program Assessment Rating Tool (PART) initiative with measures of organizational independence, I examine whether insulated and plural leadership structures are consequential for the outcomes of the federal programs administered by them. Using regression modeling and controlling for program type, I find that embedding programs in independent agencies is positively and significantly related to ratings of program performance. The effects of independent commissions appear mediated in these models by their positive association with the PART scores given to certain program types, notably research programs. These results are problematic for any global attribution of greater effectiveness to executive agencies under single-headed control and closer presidential direction.

Identifiants

pubmed: 35686115
doi: 10.3389/frma.2022.856862
pmc: PMC9171103
doi:

Types de publication

Journal Article

Langues

eng

Pagination

856862

Informations de copyright

Copyright © 2022 Keckler.

Déclaration de conflit d'intérêts

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Charles N W Keckler (CNW)

Schar School of Policy and Government, George Mason University, Fairfax, VA, United States.

Classifications MeSH