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dc.contributor.authorSchmid, Matthiasen
dc.date.accessioned2006-04-25-
dc.date.accessioned2010-05-14T10:10:26Z-
dc.date.available2010-05-14T10:10:26Z-
dc.date.issued2006-
dc.identifier.pidoi:10.5282/ubm/epub.1840en
dc.identifier.piurn:nbn:de:bvb:19-epub-1840-0en
dc.identifier.urihttp://hdl.handle.net/10419/31097-
dc.description.abstractMicroaggregation is one of the most important statistical disclosure control techniques for continuous data. The basic principle of microaggregation is to group the observations in a data set and to replace them by their corresponding group means. In this paper, we consider single-axis sorting, a frequently applied microaggregation technique where the formation of groups depends on the magnitude of a sorting variable related to the variables in the data set. The paper deals with the impact of this technique on a linear model in continuous variables. We show that parameter estimates are asymptotically biased if the sorting variable depends on the response variable of the linear model. Using this result, we develop a consistent estimator that removes the aggregation bias. Moreover, we derive the asymptotic covariance matrix of the corrected least squares estimator.en
dc.language.isoengen
dc.publisher|aLudwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen |cMünchenen
dc.relation.ispartofseries|aDiscussion Paper |x472en
dc.subject.ddc519en
dc.subject.keywordAsymptotic varianceen
dc.subject.keywordconsistent estimationen
dc.subject.keyworddisclosure controlen
dc.subject.keywordlinear modelen
dc.subject.keywordmicroaggregationen
dc.subject.keywordsorting variableen
dc.titleThe effect of single-axis sorting on the estimation of a linear regression-
dc.type|aWorking Paperen
dc.identifier.ppn510830307en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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