Microdata disclosure by resampling ? Empirical findings for business survey data

Microdata Disclosure by Resampling – Empirical Findings for Business Survey Data

A problem statistical offices and research institutes are faced with by releasing micro-data is the preservation of confidentiality. Traditional methods to avoid disclosure often destroy the structure of data, i.e., information loss is potentially high. In this paper I discuss an alternative technique of creating scientific-use-files, which reproduce the characteristics of the original data qui...

Resampling Methods in Complex Survey Data

Disclosure Risk Measures for Microdata

In this paper, we define several disclosure risk measures for microdata. We will analyze disclosure risk based on the disclosure control techniques applied to initial microdata. Disclosure Control is the discipline concerned with the modification of data containing confidential information about individual entities, such as persons, households, businesses, etc. in order to prevent third parties...

Assessing the Protection Provided by Misclassification-based Disclosure Limitation Methods for Survey Microdata

Government statistical agencies often apply statistical disclosure limitation techniques to survey microdata to protect the confidentiality of respondents. There is a need for valid and practical ways to assess the protection provided. This paper develops some simple methods for disclosure limitation techniques which perturb the values of categorical identifying variables. The methods are appli...

A Measure of Disclosure Risk for Microdata

Protection against disclosure is important for statistical agencies releasing microdata files from sample surveys. Estimates of simple measures of disclosure risk can provide useful evidence to support decisions about release. We propose a new measure of disclosure risk: the probability that a unique match between a microdata record and a population unit is correct. We argue that this measure h...