Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving microdata publishing. Recent work has shown that generalization loses considerable amount of information, especially for high-dimensional data. Bucketization, on the other hand, does not prevent membership disclosure and does not apply for data that do not have a clear separatio...

Data release has privacy disclosure risk if not taking any protection policy. Although attributes that clearly identify individuals, such as Name, Identity Number, are generally removed or decrypted, attackers can still link these databases with other released database on attributes (Quasi-identifiers) to re-identify individual’s private information. K-anonymity is a significant method for priv...

Microdata is the basis of statistical studies. If microdata is released, it can leak sensitive information about the participants, even if identifiers like name or social security number are removed. A proper anonymization for statistical microdata is essential. K-anonymity has been intensively discussed as a measure for anonymity in statistical data. Quasi identifiers are attributes that might...

Why do overeducated workers participate in non-formal education activities? Do they not suffer from an excess of education? Using microdata from the Spanish sample of the 2007 Adult Education Survey, we have found that overeducated workers participate more than the rest in nonformal education and that they earn higher wages than overeducated workers who did not participate. This result can be i...

A Reconsideration of Gender Differences in Risk Attitudes This paper reconsiders the wide agreement that females are more risk averse than males providing a leap forward in its understanding. Thoroughly surveying the experimental literature we first find that gender differences are less ubiquitous than usually depicted. Gathering the microdata of an even larger sample of Holt and Laury replicat...

Remote access is a promising tool for broadening the access to microdata without violating confidentiality requirements. In a remote access setting the user submits queries to a system provided by the statistical agency and only the results of the queries are reported back to the user. Since no direct access to the data is granted, generally no alteration of the underlying microdata is required...

Masking methods for the safe dissemination of microdata consist of distorting the original data while preserving a pre-defined set of statistical properties in the microdata. For continuous variables, available methodologies rely essentially on matrix masking and in particular on adding noise to the original values, using more or less refined procedures depending on the extent of information th...

Anonymization of published microdata has become a very important topic nowadays. The major difficulty is to publish data of individuals in a manner that the released table both provides enough information to the public and prevents disclosure of sensitive information. Therefore, several authors proposed definitions of privacy to get anonymous microdata. One definition is called k-Anonymity and ...