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dc.contributor.authorKRÖGER, Hannes
dc.contributor.authorHOFFMANN, Rasmus
dc.contributor.authorPAKPAHAN, Eduwin
dc.date.accessioned2016-01-14T14:03:20Z
dc.date.available2016-01-14T14:03:20Z
dc.date.issued2016
dc.identifier.citationJournal of the royal statistical society. Series A (Statistics in society), 2016, Vol. 179, No. 2, pp. 607–628en
dc.identifier.issn1467-985X
dc.identifier.issn0964-1998
dc.identifier.urihttps://hdl.handle.net/1814/38413
dc.descriptionFirst published online 15 September 2015.en
dc.description.abstractWe discuss the problem of random measurement error in two variables when using a cross-lagged panel design. We apply the problem to the question of the causal direction between socio-economic status and subjective health, known also as health selection versus social causation. We plot the bias of the ratio between the social causation and the health selection coefficient as a function of the degree of measurement error in subjective health and socio-economic status for different scenarios which might occur in practice. Using simulated data we give an example of a Bayesian model for the treatment of measurement error that relies on external information about the degree of measurement error.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherWileyen
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/313532
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleConsequences of measurement error for inference in cross-lagged panel design : the example of the reciprocal causal relationship between subjective health and socio-economic statusen
dc.typeArticleen
dc.identifier.doi10.1111/rssa.12129
dc.identifier.volume179
dc.identifier.startpage607
dc.identifier.endpage628
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dc.identifier.issue2


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