The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Who Controls the Bureaucracy?: Presidential Power, Congressional Dominance, Legal Constraints, and Bureaucratic Autonomy in a Model of Multi-Institutional Policy-Making
Abstract
In the past 15 years a scholarly debate has developed in the United States over the question “Who controls the bureaucracy?” Some have argued that Congress has a dominant influence on the bureaucracy, some that the president plays the major role in managing the bureaucracy, and others have emphasized the role of legal constraints on the bureaucracy, as enforced by the courts. Still others have asserted that the bureaucracy has a substantial amount of autonomy from the president, Congress, and courts. This article presents a formal model of multi-institutional policy-making that illuminates several key aspects of this debate. The model shows that there are conditions under which an agency will have considerable autonomy and conditions under which it will have virtually none. The model also shows that when an agency lacks autonomy, control of the agency usually cannot be attributed to just one institution. Finally, the model has some important implications for empirical tests of hypotheses about who controls the bureaucracy; among them is the fact that the empirical literature on control of the bureaucracy is based on a logic that gives a seriously incomplete picture of how the bureaucracy is controlled and who controls it.
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Citations
Cites
Bureaucracy and Representative Government
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Bureaucracy: what government agencies do and why they do it
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Congressional Oversight Overlooked: Police Patrols versus Fire Alarms
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Administrative Procedures as Instruments of Political Control
(1987) · The Journal of Law, Economics, and Organization · doi:10.1093/oxfordjournals.jleo.a036930 · Cited by 2,224
The Politics of the Budgetary Process
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Institutional Arrangements and Equilibrium in Multidimensional Voting Models
Shepsle, K. A. (1979) · American Journal of Political Science · doi:10.2307/2110770 · Cited by 1,483
Weingast, B. R., & Moran, M. J. (1983) · Journal of Political Economy · doi:10.1086/261181 · Cited by 1,431
Intransitivities in multidimensional voting models and some implications for agenda control
McKelvey, R. D. (1976) · Journal of Economic Theory · doi:10.1016/0022-0531(76)90040-5 · Cited by 1,339
Managerial Dilemmas: The Political Economy of Hierarchy.
Voss, T., & Miller, G. J. (1993) · Contemporary Sociology · doi:10.2307/2074545 · Cited by 702
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Tsebelis, G. (1995) · British Journal of Political Science · doi:10.1017/s0007123400007225 · Cited by 2,605
THE POLITICAL EVOLUTION OF PRINCIPAL-AGENT MODELS
Miller, G. J. (2005) · Annual Review of Political Science · doi:10.1146/annurev.polisci.8.082103.104840 · Cited by 865
Agency theory: Review of Theory and Evidence on Problems and Perspectives
Panda, B., & Leepsa, N. M. (2017) · Indian Journal of Corporate Governance · doi:10.1177/0974686217701467 · Cited by 732
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Metadata
- Authors
- Hammond, T. H., & Knott, J. H.
- Venue
- Journal of Law, Economics, and Organization
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-04-01
- Volume
- 12
- Issue
- 1
- Pages
- 119-166
- ISSN
- 1465-7341 (ISSN-L)
- 8756-6222
- OpenAlex
- W2056838509
- Cited by
- 403
- References
- 18
- FWCI
- 19.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Who Controls the Bureaucracy?: Presidential Power, Congressional Dominance, Legal Constraints, and Bureaucratic Autonomy in a Model of Multi-Institutional Policy-Making. https://app.cochat.ai/papers/10.1093/oxfordjournals.jleo.a023355
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- Hammond, T. H., & Knott, J. H. (1996). Who Controls the Bureaucracy?: Presidential Power, Congressional Dominance, Legal Constraints, and Bureaucratic Autonomy in a Model of Multi-Institutional Policy-Making. Journal of Law, Economics, and Organization. https://doi.org/10.1093/oxfordjournals.jleo.a023355
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.