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Formal Models of Bureaucracy

Bibliographic Data

ID6232799
AuthorsSean Gailmard (0000-0002-1742-5879, Charles & Louise Travers Department of Political Science, University of California, Berkeley, California 94720), John W Patty (0000-0002-1142-9334, Department of Political Science and Center for Political Economy, Washington University in St. Louis, St. Louis, Missouri 63130)
Year2012
Volume15
Issue1
Pages353-377
Publication date2012-06-15
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnual Review of Political Science (BOOK_SERIES)
Journal identifiersISSN: 1094-2939 • E-ISSN: 1545-1577
PublisherAnnual Reviews (PUBLISHER • US)
DOI10.1146/annurev-polisci-031710-103314
OpenAlexW2139011416
LanguageEN
Citations received109
References cited58

In the past decade, political science has witnessed a substantial amount of research using formal models to explicate the rationale for and effects of myriad aspects of bureaucratic institutions. Whereas previous waves of formal modeling on bureaucratic structure emphasized bureaucracy as a device for making policy commitments last, more recent formal research has grappled with information asymmetries and more explicitly considered the principal-agent relationship between bureaucracies and political authorities. We review several major recent themes in this literature, particularly the effects and development of bureaucratic hierarchies, the agency dilemmas inherent when policy-making authority is delegated to bureaucrats, and the effects of institutional structure on the development and sharing of expertise and capacity in bureaucracies

Agency (philosophy · Bureaucracy · Economics · Law and economics · Political economy · Political science · Politics · Positive economics · Principal (computer security · Social science · Sociology · Electoral Systems and Political Participation · Law · Political Influence and Corporate Strategies · Public Administration · Public Policy and Administration Research

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Unique citing works109
Citations per year8,38
Citation span2013 - 2026 (14)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 108

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