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Deterring discrimination with data

dc.contributor.authorWeiss, Janet A.en_US
dc.contributor.authorGruber, Judith E.en_US
dc.date.accessioned2006-09-11T16:04:04Z
dc.date.available2006-09-11T16:04:04Z
dc.date.issued1984-05en_US
dc.identifier.citationWeiss, Janet A.; Gruber, Judith E.; (1984). "Deterring discrimination with data." Policy Sciences 17(1): 49-66. <http://hdl.handle.net/2027.42/45444>en_US
dc.identifier.issn0032-2687en_US
dc.identifier.issn1573-0891en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45444
dc.description.abstractDiscrimination on grounds of race, sex, and handicap persists in many local school districts in spite of nearly twenty years of sustained attention from federal policymakers. Because litigation proceeds slowly and expensively, and because administrative attacks on discrimination have been stymied by political controversy, additional policy strategies merit careful consideration. We studied the operation of one such strategy in nine local districts: the mandatory collection of data concerning civil rights matters in schools. Data collection and reporting shaped local compliance with civil rights laws in four ways: by threatening local officials with future penalties, by providing political ammunition to constituencies that care about civil rights, by allowing local districts to learn about their own performance, and by framing school practices in ways that heighten awareness about equity. In this policy setting, data collection has advantages and disadvantages that complement those of other enforcement strategies. In this and other policy settings, data collection has power to elicit compliance even in the absence of conventional enforcement.en_US
dc.format.extent1168136 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Elsevier Science Publishers B.V. ; Springer Science+Business Mediaen_US
dc.subject.otherPolitical Scienceen_US
dc.subject.otherSocial Sciences, Generalen_US
dc.subject.otherEconomic Policyen_US
dc.titleDeterring discrimination with dataen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Business Administration and Institute of Public Policy Studies, University of Michigan, 48109, Ann Arbor, MI, USAen_US
dc.contributor.affiliationotherDepartment of Political Science, University of California, 94720, Berkeley, CA, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45444/1/11077_2004_Article_BF00229728.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00229728en_US
dc.identifier.sourcePolicy Sciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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