紹介
The aim of this book is to discuss various aspects associated with disseminating personal or business data collected in censuses or surveys or copied from administrative sources. The problem is to present the data in such a form that they are useful for statistical research and to provide sufficient protection for the individuals or businesses to whom the data refer. The major part of this book is concerned with how to define the disclosure problem and how to deal with it in practical circumstances.
目次
1 Introduction to Statistical Disclosure Control.- 1.1 Introduction.- 1.2 The increasing importance of SDC.- 1.3 The Problems.- 1.3.1 Microdata.- 1.3.2 Tables.- 2 Principles.- 2.1 Introduction.- 2.2 Basic Concepts.- 2.3 Preliminaries on the SDC for Microdata.- 2.4 The Philosophy of SDC for Microdata.- 2.5 The World According to a Releaser of Microdata.- 2.6 SDC for Tables.- 3 Policies and Case Studies.- 3.1 Introduction.- 3.2 Options for Data Dissemination.- 3.3 SDC Policy for Microdata of Various Statistical Offices.- 3.4 The Netherlands: WSA.- 3.5 Great Britain: Samples of Anonymized Records.- 3.5.1 Samples of Anonymized Records.- 3.5.2 Confidentiality Protection in the SARs.- 3.5.3 Dissemination of SARs.- 3.6 Eurostat.- 3.7 Luxemburg Income Study.- 4 Microdata.- 4.1 Introduction.- 4.2 SDC rules.- 4.2.1 Classification of Variables.- 4.2.2 Rareness Criteria.- 4.2.3 Sensitive Variables.- 4.2.4 Household Variables.- 4.2.5 Regional Variables.- 4.2.6 The Spread of Regional Characteristics.- 4.2.7 Sampling Weights.- 4.2.8 Remaining SDC Rules.- 4.2.9 Examples of Sets of SDC Rules.- 4.3 SDC for Microdata Sets in Practice.- 4.3.1 SDC Measures.- 4.3.2 Matching Microdata Sets.- 4.3.3 The Use of a Larger Microdata Set.- 4.3.4 Continuous Variables.- 4.3.5 Comments on the Construction of Household Files.- 5 Microdata: Backgrounds.- 5.1 Introduction.- 5.2 Estimation of Population Frequencies.- 5.3 Continuous Variables.- 5.4 Global Recoding and Local Suppression.- 5.5 Sampling Weights.- 5.6 The Re-identification Risk of an Entire Microdata Set.- 6 Tabular Data.- 6.1 Introduction.- 6.2 Tables with Magnitude Data.- 6.3 Sensitive Cells in Frequency Count Data.- 6.4 Disclosure Control Measures.- 6.4.1 Table Redesign.- 6.4.2 Cell Suppression.- 6.4.3 Feasibility Intervals.- 6.4.4 Rounding.- 6.4.5 Averages and Fractions.- 6.5 Recommendations.- 6.5.1 A Procedure for SDC of Tabular Data.- 6.5.2 Warning.- 6.5.3 Tabular Data Based on Samples.- 6.6 Linked Tables.- 7 Tabular Data: Backgrounds.- 7.1 Introduction.- 7.2 Sensitivity Measures.- 7.3 Secondary Cell Suppression.- 7.3.1 Computing Feasibility Interval.- 7.3.2 The Hypercube Method.- 7.4 Stochastic Rounding.- 7.4.1 The Method of Fellegi for One-dimensional Tables.- 7.4.2 The Method of Cox for Two-dimensional Tables.- 7.5 Linked Tables.- 7.5.1 Fixed Set of Linked Tables.- 7.5.2 Non-fixed Set of Linked Tables.- 8 Loose Ends.- References.
