dc.contributor.author | Schmid, Matthias | de |
dc.contributor.author | Schneeweiss, Hans | de |
dc.date.accessioned | 2011-06-21T02:52:00Z | de |
dc.date.accessioned | 2012-08-30T06:50:19Z | |
dc.date.available | 2012-08-30T06:50:19Z | |
dc.date.issued | 2009 | de |
dc.identifier.uri | http://www.ssoar.info/ssoar/handle/document/25457 | |
dc.description.abstract | Microaggregation by individual ranking (IR) is an important technique for masking confidential econometric data. While being a successful method for controlling the disclosure risk of observations, IR also affects the results of statistical analyses. We conduct a theoretical analysis on the estimation of arbitrary moments from a data set that has been anonymized by means of the IR method. We show that classical moment estimators remain both consistent and asymptotically normal under weak assumptions. This theory provides the justification for applying standard statistical estimation techniques to the anonymized data without having to correct for a possible bias caused by anonymization. | en |
dc.language | en | de |
dc.subject.ddc | Wirtschaft | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.ddc | Economics | en |
dc.subject.other | Consistent estimation; Disclosure control; Individual ranking; Microaggregation; General moments; | |
dc.title | The effect of microaggregation by individual ranking on the estimation of moments | en |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Journal of Econometrics | de |
dc.source.volume | 153 | de |
dc.publisher.country | NLD | |
dc.source.issue | 2 | de |
dc.subject.classoz | Economic Statistics, Econometrics, Business Informatics | en |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-254577 | de |
dc.date.modified | 2011-07-06T16:51:00Z | de |
dc.rights.licence | PEER Licence Agreement (applicable only to documents from PEER project) | de |
dc.rights.licence | PEER Licence Agreement (applicable only to documents from PEER project) | en |
ssoar.gesis.collection | SOLIS;ADIS | de |
ssoar.contributor.institution | http://www.peerproject.eu/ | de |
internal.status | 3 | de |
dc.type.stock | article | de |
dc.type.document | journal article | en |
dc.type.document | Zeitschriftenartikel | de |
dc.rights.copyright | f | de |
dc.source.pageinfo | 174-182 | |
internal.identifier.classoz | 10905 | |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 195 | de |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
internal.identifier.ddc | 330 | |
dc.identifier.doi | https://doi.org/10.1016/j.jeconom.2009.06.001 | de |
dc.description.pubstatus | Postprint | en |
dc.description.pubstatus | Postprint | de |
internal.identifier.licence | 7 | |
internal.identifier.pubstatus | 2 | |
internal.identifier.review | 1 | |
internal.check.abstractlanguageharmonizer | CERTAIN | |
internal.check.languageharmonizer | CERTAIN_RETAINED | |