Principal-agent modelling and learning: the European Commission, experts and agricultural hormone growth promoters

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Principal-agent modelling and learning: the European Commission, experts and agricultural hormone growth promoters

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dc.contributor.author Dunlop, Claire A en_GB
dc.contributor.author James, Oliver en_GB
dc.date.accessioned 2009-06-15T12:52:47Z en_GB
dc.date.accessioned 2011-01-25T11:43:58Z en_US
dc.date.accessioned 2013-03-20T16:31:33Z
dc.date.issued 2007-10 en_GB
dc.description.abstract Principal-agent modelling has become a very influential way of thinking about bureaucratic politics in a wide range of settings. Simple agency models have recently been extended and bureaucratic relationships placed in their wider temporal and socio-political contexts. By developing a conceptualization of principal-agent learning this article offers a nuanced account of the extent to which principals can learn to develop institutions that enhance their political control of bureaucratic agents and predispose those agents toward the principal’s preferences, limiting adverse selection and moral hazard problems. The revised model is applied to the context of the European Commission’s selection and management of scientific committees in the case of agricultural hormone growth promoters. The findings not only confirm the usefulness of more dynamic accounts of principal-agent relationships that eschew ahistoricism and acontextualism, they also suggest that extended principal-agent models should include constraints on learning by principals. In this case the principal’s learning was reactive – relying heavily upon external actors and venues to do their thinking for them. en_GB
dc.description.sponsorship The case study was informed by Dunlop's doctoral research funded by Economic and Social Research Council (ESRC) studentship R00429834387. Dunlop was the lead author and investigator of the case study. Both authors developed the theoretical aspects of the paper. en_GB
dc.identifier.citation 22(4), pp.403-422 en_GB
dc.identifier.doi 10.1177/0952076707081585 en_GB
dc.identifier.uri http://hdl.handle.net/10036/70481 en_GB
dc.language.iso en en_GB
dc.publisher SAGE Publications en_GB
dc.relation.url http://ppa.sagepub.com/content/vol22/issue4/ en_GB
dc.relation.url http://ppa.sagepub.com/cgi/content/abstract/22/4/403 en_GB
dc.subject adverse selection en_GB
dc.subject European Commission policy making en_GB
dc.subject expert advice en_GB
dc.subject learning en_GB
dc.subject moral hazard en_GB
dc.subject principal-agent en_GB
dc.title Principal-agent modelling and learning: the European Commission, experts and agricultural hormone growth promoters en_GB
dc.type Article en_GB
dc.date.available 2009-06-15T12:52:47Z en_GB
dc.date.available 2011-01-25T11:43:58Z en_US
dc.date.available 2013-03-20T16:31:33Z
dc.identifier.issn 0952-0767 en_GB
dc.description © 2007 by SAGE Publications and PAC en_GB
dc.identifier.eissn 1749-4192 en_GB
dc.identifier.journal Public Policy and Administration en_GB


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