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This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining the area, before explaining how to structure such systems, as well as detailing alternative approaches. It explains how to create statistical registers, how to implement quality assurance, and the use of IT systems for register-based statistics. Further to this, clear details are given about the practicalities of implementing such statistical methods, such as protection of privacy and the coordination and coherence of such an undertaking.
This edition offers a full understanding of both the principles and practices of this increasingly popular area of statistics, and can be considered a first step to a more systematic way of working with register-statistical issues. This book addresses the growing global interest in the topic and employs a much broader, more international approach than the 1st edition. New chapters explore different kinds of register-based surveys, such as preconditions for register-based statistics and comparing sample survey and administrative data. Furthermore, the authors present discussions on register-based census, national accounts and the transition towards a register-based system as well as presenting new chapters on quality assessment of administrative sources and production process quality.
Autorentext
Anders Wallgren and Britt Wallgren, Statistics Sweden.
Zusammenfassung
This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining the area, before explaining how to structure such systems, as well as detailing alternative approaches. It explains how to create statistical registers, how to implement quality assurance, and the use of IT systems for register-based statistics. Further to this, clear details are given about the practicalities of implementing such statistical methods, such as protection of privacy and the coordination and coherence of such an undertaking.
This edition offers a full understanding of both the principles and practices of this increasingly popular area of statistics, and can be considered a first step to a more systematic way of working with register-statistical issues. This book addresses the growing global interest in the topic and employs a much broader, more international approach than the 1st edition. New chapters explore different kinds of register-based surveys, such as preconditions for register-based statistics and comparing sample survey and administrative data. Furthermore, the authors present discussions on register-based census, national accounts and the transition towards a register-based system as well as presenting new chapters on quality assessment of administrative sources and production process quality.
Inhalt
Preface xi
Chapter 1 Register Surveys An Introduction 1
1.1 The purpose of the book 1
1.2 The need for a new theory and new methods 3
1.3 Four ways of using administrative registers 5
1.4 Preconditions for register-based statistics 6
1.4.1 Reliable administrative systems 7
1.4.2 Legal base and public approval 8
1.5 Basic concepts and terms 10
1.5.1 What is a statistical survey? 10
1.5.2 What is a register? 11
1.5.3 What is a register survey? 13
1.5.4 The Income and Taxation Register 14
1.5.5 The Quarterly and Annual Pay Registers 16
1.6 Comparing sample surveys and register surveys 20
1.7 Conclusions 23
Chapter 2 The Nature of Administrative Data 25
2.1 Different kinds of administrative data 25
2.2 How are data recorded? 26
2.3 Administrative and statistical information systems 27
2.4 Measurement errors in statistical and administrative data 29
2.5 Why use administrative data for statistics? 30
2.6 Comparing sample survey and administrative data 32
2.6.1 A questionnaire to persons compared with register data 32
2.6.2 An enterprise questionnaire compared with register data 34
2.7 Conclusions 36
Chapter 3 Protection of Privacy and Confidentiality 37
3.1 Internal security 38
3.1.1 No text in output databases! 38
3.1.2 Existence of identity numbers 39
3.2 Disclosure risks tables 40
3.2.1 Rules for tables with counts, totals and mean values 41
3.2.2 The threshold rule analyse complete tables! 43
3.2.3 Frequency tables are often misunderstood 44
3.2.4 Combining tables can cause disclosure 45
3.3 Disclosure risks micro data 45
3.4 Conclusions 46
Chapter 4 The Register System 47
4.1 A register model based on object types and relations 47
4.1.1 The register system and protection of privacy 53
4.1.2 The register system and data warehousing 53
4.2 Organising the work with the system 54
4.3 The populations in the system 56
4.3.1 How to produce consistent register-based statistics 57
4.3.2 Registers and time 58
4.3.3 Populations, variables and time 59
4.4 The variables in the system 60
4.4.1 Standardised variables in the register system 60
4.4.2 Derived variables 62
4.4.3 Variables with different origins 63
4.4.4 Variables with different functions in the system 64
4.5 Using the system for micro integration 65
4.6 Three kinds of registers with different roles 70
4.7 Register systems and register surveys within enterprises 72
4.8 Conclusions 74
Chapter 5 The Base Registers in the System 77
5.1 Characteristics of a base register 77
5.2 Requirements for base registers 78
5.2.1 Defining and deriving statistical units 78
5.2.2 Objects and identities requirements for a base register 80
5.2.3 Coverage and spanning variables in base registers 81
5.3 The Population Register 83
5.4 The Business Register 88
5.5 The Real Estate Register 93
5.6 The Activity Register 94
5.7 Everyone should support the base registers! 98
5.8 Conclusions 101
Chapter 6 How to Create a Register Matching and Combining Sources 103
6.1 Preconditions in different countries 103
6.2 Matching methods and problems 105
6.2.1 Deterministic record linkage 105
6.2.2 Probabilistic record linkage 106
6.2.3 Four causes of matching errors 112
6.3 Matching sources with different object types 114
6.4 Conclusions 120
Chapter 7 How to Create a Register The Population 121
7.1 How should register surveys be structured? 121 7.2 Register survey design 125</p&g...