The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An Adaptive Model of Bureaucratic Politics
Abstract
In this article we outline a new framework for the formal analysis of bureaucratic politics. It departs from standard neoclassical approaches, notably those of Niskanen (1971) and Peltzman (1976), in several important respects. First our approach explicitly models a system of three-way interaction among bureaus, politicians, and interest groups. Second, it allows for institutional features of each type of participant. Third, it is a model of dynamic process. Fourth, participants make choices adoptively rather than optimizing. Fifth, participants are only minimally informed. The result is a dynamic model of adaptive behavior, very much in the spirit of Simon's (1947) behavioral tradition, that offers a new perspective on political control, bureaucratic power, and the “intelligence of democracy.”
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Congressional Oversight Overlooked: Police Patrols versus Fire Alarms
McCubbins, M. D., & Schwartz, T. (1984) · American Journal of Political Science · doi:10.2307/2110792 · Cited by 2,936
Niskanen, W. A. (1975) · The Journal of Law and Economics · doi:10.1086/466829 · Cited by 1,022
Cited by
An Assessment of the Positive Theory of 'Congressional Dominance'
Moe, T. M. (1987) · Legislative Studies Quarterly · doi:10.2307/439745 · Cited by 441
Self-citationPrincipals, Bureaucrats, and Responsiveness in Clean Air Enforcements
Wood, B. D. (1988) · American Political Science Review · doi:10.2307/1958066 · Cited by 423
When Policies Undo Themselves: Self‐Undermining Feedback as a Source of Policy Change
Jacobs, A. M., & Weaver, R. K. (2015) · Governance · doi:10.1111/gove.12101 · Cited by 398
Cooperative Regulatory Enforcement and the Politics of Administrative Effectiveness
Scholz, J. T. (1991) · American Political Science Review · doi:10.2307/1962881 · Cited by 296
Bureaucracy and Democracy: The Case for More Bureaucracy and Less Democracy
Meier, K. J. (1997) · Public Administration Review · doi:10.2307/976648 · Cited by 177
Metadata
- Authors
- Bendor, J., & Moe, T. M.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 1985-09
- Volume
- 79
- Issue
- 3
- Pages
- 755-774
- ISSN
- 0003-0554 (ISSN-L)
- 1537-5943
- OpenAlex
- W1980118650
- Cited by
- 223
- References
- 2
- FWCI
- 38.61
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Adaptive Model of Bureaucratic Politics. https://app.cochat.ai/papers/10.2307/1956842
- The paper
- Bendor, J., & Moe, T. M. (1985). An Adaptive Model of Bureaucratic Politics. American Political Science Review. https://doi.org/10.2307/1956842
Data sources
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.