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Patterns of consent: evidence from a general household survey

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dc.creator Jenkins, Stephen P.
dc.creator Cappellari, Lorenzo
dc.creator Lynn, Peter
dc.creator Jäckle, Annette
dc.creator Sala, Emanuela
dc.date 2005
dc.date.accessioned 2013-10-16T06:59:33Z
dc.date.available 2013-10-16T06:59:33Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/18341
dc.identifier ppn:491222572
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/18341
dc.description We analyse consent patterns and consent bias in the context of a large general household survey, the ?Improving survey measurement of income and employment? (ISMIE) survey, also addressing issues that arise when there are multiple consent questions. Using a multivariate probit regression model for four binary outcomes with two incidental truncations, we show that there are biases in consent to data linkage with benefit and tax credit administrative records held by the Department for Work and Pensions, and with wage and employment data held by employers, and also in respondents? willingness and ability to supply their National Insurance Number. The biases differ according to the question considered, however. We also show that modelling consent questions independently rather than jointly may lead to misleading inferences about consent bias. A positive correlation between unobservable individual factors affecting consent to DWP record linkage and consent to employer record linkage is suggestive of a latent individual consent propensity.
dc.language eng
dc.publisher Deutsches Institut für Wirtschaftsforschung (DIW) Berlin
dc.relation DIW-Diskussionspapiere 490
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject ddc:330
dc.subject informed consent
dc.subject household surveys
dc.subject consent bias
dc.subject selection bias
dc.subject multivariate probit
dc.subject incidental truncation
dc.subject data linkage
dc.title Patterns of consent: evidence from a general household survey
dc.type doc-type:workingPaper


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