The effect of microaggregation by individual ranking on the estimation of moments

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

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch
• Notes: Postprint ; begutachtet (peer reviewed) ; In: Journal of Econometrics ; 153 (2009) 2 ; 174-182

Classification and Topics

• Classification: Wirtschaft

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Mannheim
• (when): 2009
• Creator: Schmid, Matthias ; Schneeweiss, Hans

Further information

• DOI: 10.1016/j.jeconom.2009.06.001
• URN: urn:nbn:de:0168-ssoar-254577
• Rights: Open Access unbekannt; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 25.03.2025, 1:55 PM CET