Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5096729 | Journal of Econometrics | 2009 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Matthias Schmid, Hans Schneeweiss,