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An Adaptive Model of Bureaucratic Politics

Bibliographic Data

ID3579025
AuthorsJonathan Bendor (0000-0002-6066-0815, Stanford University), Terry M Moe (Stanford University)
Year1985
Volume79
Issue3
Pages755-774
Publication date1985-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Political Science Review (JOURNAL)
Journal identifiersISSN: 0003-0554 • E-ISSN: 1537-5943
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.2307/1956842
OpenAlexW1980118650
LanguageEN
Citations received88
References cited33

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

Bureaucracy · Control (management · Democracy · Economic system · Economics · Epistemology · Law and economics · Management · Perspective (graphical · Political science · Politics · Positive economics · Power (physics · Process (computing · Sociology · Artificial Intelligence · Computer Science · Economic Theory and Institutions · Game Theory and Voting Systems · Law · Local Government Finance and Decentralization

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Unique citing works88
Citations per year2,15
Citation span1985 - 2026 (42)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 87

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