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E-grāmata: Register-based Statistics: Registers and the National Statistical System

(Statistics Sweden, Sweden), (Statistics Sweden, Sweden)
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"National statistical offices use three kinds of survey methodology when producing official statistics based on microdata: methods for censuses, for sample surveys and for register surveys. This book deals with the third kind of methodology - methods forregister surveys, where instead of collecting data through interviewers and questionnaires, administrative registers from different administrative systems are adapted and processed to create statistical registers that are used to produce the desired estimates. We introduce several concepts and principles that should be used when discussing register surveys. These concepts and principles form the methodological bases for this kind of survey. There is a growing interest in this area. Many countries increasingly use administrative registers for statistical purposes, and there is a growing demand for an understanding of register survey methodology. However, preconditions differ - in some countries the preconditions are good, while in other countries there can be obstacles that make it difficult to use data from some administrative systems. We discuss such obstacles and how the national statistical system can be improved to reduce the problems. We give special attention to countries desiring to take the firststeps towards a register-based statistical system."--

REGISTER-BASED STATISTICS

Rediscover this authoritative guide to register-based statistics filled with significant new improvements

In the newly revised Third Edition of Register-based Statistics: Registers and the National Statistical System, Anders Wallgren and Britt Wallgren deliver a robust exploration of how register-based statistics can be used to its fullest potential. The authors describe how statistical institutes can work on long-term projects to improve administrative systems, as well as estimation methods that can improve the quality of statistical estimates based on registers with quality problems. Readers will also discover how to improve the ways register-statistical issues are introduced, as well as how to create population registers.

Finally, the authors draw on their experience from teaching and consulting in several countries to explain how to implement register-based statistics.

Key features of the third edition:

  • Discusses the problems new register countries face
  • Explains how registers will improve the efficiency of the national statistical system
  • Clarifies the importance of the system approach
  • Describes how a statistical population register can be created
  • Registers-based statistics require new skills and understanding of new concepts
  • Many important quality indicators are described
  • Explains difficult topics in a pedagogic way

Perfect for staff at national statistical institutes and administrative and ministerial authorities belonging to national statistical systems, Register-based Statistics will also prove to be an indispensable resource for undergraduate and graduate students in statistics programs and courses, as well as survey researchers and practitioners.

Index to Charts xi
Preface xix
Chapter 1 Censuses, Sample Surveys and Register Surveys
1(24)
1.1 The national statistical system
2(1)
1.2 The traditional census-based system
3(2)
1.3 New sources: Administrative registers and Big data
5(2)
1.4 Basic concepts and terms
7(7)
1.4.1 What is a register?
1(7)
1.4.2 Databases, records and observations
8(2)
1.4.3 What is a register survey?
10(2)
1.4.4 A register survey: The Income and Taxation Register
12(2)
1.5 New demands and opportunities require new methods
14(5)
1.5.1 A new paradigm is necessary
14(1)
1.5.2 New statistical methods
15(3)
1.5.3 The basic principles of register-based statistics
18(1)
1.6 Preconditions for register-based statistics
19(6)
1.6.1 Reliable administrative systems
20(1)
1.6.2 Legal base and public approval
21(2)
1.6.3 Political support to strengthen the statistical system
23(2)
Chapter 2 The Transition to a Register-based Production System
25(26)
2.1 First obstacle: How to gain access to microdata?
26(1)
2.2 Protection of privacy and confidentiality
26(3)
2.3 Second obstacle: How to take care of dirty data?
29(1)
2.4 The new production process
30(7)
2.4.1 Contacts with administrative authorities
31(1)
2.4.2 Metadata have a new role
31(1)
2.4.3 Anonymisation of identity numbers
32(1)
2.4.4 Editing of a single administrative register
33(3)
2.4.5 Organising the work with administrative registers
36(1)
2.5 Third obstacle: The national registration system
37(4)
2.5.1 Legislation governs access to data
38(1)
2.5.2 Too many registers, but no good registers - what to do?
38(2)
2.5.3 Legislation rules obligations to report and what to report
40(1)
2.6 Why has the census been so important?
41(1)
2.7 Creating the register system
42(6)
2.7.1 Where do you live?
43(2)
2.7.2 Where do you work?
45(1)
2.7.5 With whom do you live?
46(1)
2.7.4 A centralised or decentralised national system?
47(1)
2.8 Register surveys and estimation methods
48(1)
2.9 A traditional census or a register-based census?
49(2)
Chapter 3 The Nature of Administrative Data
51(14)
3.1 Comparing questionnaire and register data
51(5)
3.1.1 A questionnaire to persons compared with register data
51(3)
3.1.2 An enterprise questionnaire compared with register data
54(2)
3.2 Enterprise registers for combined use
56(4)
3.2.1 Corrections in accounting data
57(1)
3.2.2 Missing values in accounting data
58(1)
3.2.3 Administrative and statistical information systems
59(1)
3.3 Measurement errors in questionnaire and register data
60(5)
3.3.1 Measurement errors
61(1)
3.3.2 Taxation errors
62(3)
Chapter 4 Building the System - Record Linkage
65(20)
4.1 Record linkage
65(1)
4.2 Record linkage in the Nordic countries
66(2)
4.3 Deterministic record linkage
68(2)
4.4 Creating variables by adjoining and aggregation
70(3)
4.5 Probabilistic record linkage
73(6)
4.6 Four causes of matching errors
79(3)
4.7 The statistical system and record linkage
82(3)
Chapter 5 Building the System - Quality Assessment
85(22)
5.1 Four quality concepts
85(2)
5.2 Making an inventory of potential sources
87(1)
5.3 How can a source be used?
87(3)
5.4 Quality assessment in a register-based production system
90(4)
5.4.1 Analysing metadata
91(1)
5.4.2 Analysis and data editing of the source
92(1)
5.4.3 Comparing a source with the base register
92(1)
5.4.4 Comparing a source with surveys with similar variables
93(1)
5.5 Output data quality and quality of estimates
94(4)
5.5.1 Analysing quality with a test census
94(1)
5.5.2 Analysing quality with samples from the new register
95(1)
5.5.3 Analysing quality with area samples
96(2)
5.5.4 Measuring quality of basic register variables with the LFS
98(1)
5.6 A coordinated system of registers
98(3)
5.6.1 Are the base registers a coordinated system?
98(1)
5.6.2 Quality indicators at the system level
99(2)
5.7 Using the quality indicators
101(6)
Chapter 6 Building the System - Editing Register Data
107(22)
6.1 Editing in register surveys
108(1)
6.2 Editing of a single administrative register
109(1)
6.3 Consistency editing
110(11)
6.3.1 Consistency editing - is the population correct?
111(7)
6.3.2 Consistency editing - are the units correct?
118(2)
6.3.3 Consistency editing - are the variables correct?
120(1)
6.4 Case studies - editing register data
121(4)
6.4.1 Editing work within the Income and Taxation Register
121(2)
6.4.2 Editing work within the Income Statement Register
123(1)
6.4.3 What more can be learned from these examples?
124(1)
6.5 Editing, quality assessment and survey design
125(4)
6.5.1 Survey design in a register-based production system
125(2)
6.5.2 Survey design - management problems
127(1)
6.5.3 Total survey error in a register-based system
128(1)
Chapter 7 Building the System - The Population Register
129(26)
7.1 Inventory of sources
131(2)
7.1.1 Time references
131(1)
7.1.2 Activities or `signs of life'
131(2)
7.2 The Population Register based on full information
133(7)
7.2.1 Object types - Changing and unchanging registers
133(1)
7.2.2 Variables with different functions in the system
134(2)
7.2.3 Updating the Population Register
136(1)
7.2.4 Registers and time
137(3)
7.2.5 Variables and time
140(1)
7.3 The Population Register in new register countries
140(8)
7.3.1 Different systems of identity numbers
141(1)
7.3.2 Problems in countries without a central Population Register
142(1)
7.3.3 How to improve coverage of the Population Register
143(3)
7.3.4 Inventory of sources - addresses and time references
146(2)
7.4 Methods to measure and improve quality
148(3)
7.4.1 Three kinds of surveys should be combined
148(2)
7.4.2 A new register-based system for statistics on persons
150(1)
7.5 Conclusions
151(1)
7.6 Challenges in old register countries
152(3)
Chapter 8 The Population Register - Estimation Methods
155(16)
8.1 Estimation in sample surveys and register surveys
156(5)
8.1.1 Estimation methods for register surveys that use weights
157(1)
8.1.2 Calibration of weights in register surveys
157(4)
8.2 Calibration of weights - the Swedish LFS
161(2)
8.2.1 Use of auxiliary information in the LFS
161(1)
8.2.2 Nonresponse bias in the LFS
162(1)
8.3 Calibration - where do people live?
163(4)
8.4 Methods to handle overcoverage
167(4)
Chapter 9 Defining Register Populations - Coverage Errors
171(14)
9.1 Defining a register's object set
172(7)
9.1.1 Defining a population
172(4)
9.1.2 Can you alter data from the National Tax Agency?
176(1)
9.1.3 Defining a population - the Farm Register
176(2)
9.1.4 Defining a population - integrated registers
178(1)
9.2 Defining a calendar year population
179(6)
9.2.1 Defining a population - frame or register population?
180(4)
9.2.2 Sampling paradigm versus register paradigm
184(1)
Chapter 10 Building the System - The Business Register
185(16)
10.1 The Business Register and the National Accounts
185(2)
10.2 The base register for economic statistics
187(1)
10.3 The scope of the register and choice of object types
188(7)
10.3.1 The register with legal units and local units
189(2)
10.3.2 The register with enterprise units and kind of activity units
191(4)
10.4 Inventory of sources
195(3)
10.5 Creating and maintaining the Business Register
198(3)
Chapter 11 The Business Register - Estimation Methods
201(26)
11.1 Multi-valued variables
202(3)
11.2 Estimation methods
205(9)
11.2.1 Occupation in the Activity and Occupation Registers
206(4)
11.2.2 Industrial classification in the Business Register
210(3)
11.2.3 Estimates from different register versions
213(1)
11.3 Application of the method
214(4)
11.3.1 Change of industry and time series quality
215(2)
11.3.2 Transformation of weights
217(1)
11.4 A decentralised or centralised statistical system?
218(6)
11.4.1 The Calendar Year Register and the National Accounts
219(1)
11.4.2 Choosing the best source for the National Accounts
220(4)
11.5 Conclusions
224(3)
Chapter 12 Censuses, Sample Surveys and Register Surveys - Conclusions
227(30)
12.1 Attitudes towards the register-based census
227(4)
12.2 The new national statistical system
231(6)
12.2.1 The system of base registers
232(2)
72.2.2 Activity registers and longitudinal registers
234(3)
12.3 Survey design
237(8)
12.3.1 Sample survey design
237(1)
12.3.2 Register survey design
238(3)
12.3.3 Creating register variables
241(4)
12.4 Survey quality
245(3)
12.4.1 Quality of registers and register surveys
246(1)
12.4.2 The integration process - integration errors
247(1)
12.4.3 Frame errors
247(1)
12.5 Organising the new production system
248(6)
12.5.1 Enterprise architecture and the register system
248(1)
12.5.2 The register system and data warehousing
249(3)
12.5.3 Missing values - a system-based approach
252(2)
12.6 Final remarks
254(3)
12.6.1 The Statistical Population Register
254(1)
12.6.2 The system of base registers
255(2)
References 257(4)
Index 261
Anders Wallgren and Britt Wallgren worked for many years in teaching and research as senior lecturers in statistics at Stockholm, Linköping and Örebro universities. They have also worked as consultants for several Swedish manufacturing industries. In connection with these consulting assignments, they began working with corporate administrative registers and developed statistical methods for business intelligence.

After their academic career, they came to Statistics Sweden and worked for about 20 years at the Department of Research and Development. They worked mainly with survey methodology for the statistical registers which form the basis for the production of official statistics in Sweden.

Since 2011 they have provided courses and consulting services on behalf of the Inter-American Development Bank in several Latin American countries and in the Caribbean.
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