Register-based Statistics: Statistical Methods for Administrative Data / Edition 2

Register-based Statistics: Statistical Methods for Administrative Data / Edition 2

ISBN-10:
1119942136
ISBN-13:
9781119942139
Pub. Date:
05/27/2014
Publisher:
Wiley

Hardcover

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Overview

Register-based Statistics: Statistical Methods for Administrative Data / Edition 2

This book provides a comprehensive and up to date treatmentof  theory and practical implementation in Register-basedstatistics. It begins by defining the area, before explaining howto structure such systems, as well as detailing alternativeapproaches. It explains how to create statistical registers, how toimplement quality assurance, and the use of IT systems forregister-based statistics. Further to this, clear details are givenabout the practicalities of implementing such statistical methods,such as protection of privacy and the coordination and coherence ofsuch an undertaking.

This edition offers a full understanding of both the principlesand practices of this increasingly popular area of statistics, andcan be considered a first step to a more systematic way of workingwith register-statistical issues. This book addresses the growingglobal interest in the topic and employs a much broader, moreinternational approach than the 1st edition. Newchapters explore different kinds of register-based surveys, such aspreconditions for register-based statistics and comparing samplesurvey and administrative data. Furthermore, the authors presentdiscussions on register-based census, national accounts and thetransition towards a register-based system as well as presentingnew chapters on quality assessment of administrative sources andproduction process quality.

Product Details

ISBN-13: 9781119942139
Publisher: Wiley
Publication date: 05/27/2014
Series: Wiley Series in Survey Methodology Series
Pages: 320
Product dimensions: 6.50(w) x 9.60(h) x 0.80(d)

Table of Contents

Preface xi

Chapter 1  Register Surveys – An Introduction1

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 data29

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 data32

2.6.2 An enterprise questionnaire compared with register data34

2.7 Conclusions 36

Chapter 3 Protection of Privacy and Confidentiality37

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 values41

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 enterprises72

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 baseregister 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 andCombining 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 – ThePopulation 121

7.1 How should register surveys be structured? 121

7.2 Register survey design 125

7.2.1 Determining the research objectives 125

7.2.2 Making an inventory of different sources 128

7.2.3 Analysing the usability of administrative sources 128

7.3 Defining a register’s object set 131

7.3.1 Defining a population 131

7.3.2 Can you alter data from the National Tax Agency? 134

7.3.3 Defining a population –  primary registers135

7.3.4 Defining a population –  integrated registers136

7.3.5 Defining a calendar year population 137

7.3.6 Defining a population – frame or registerpopulation? 138

7.3.7 Base registers should be used when defining populations141

7.4 Defining the statistical units 142

7.4.1 Units and identities when creating primary registers143

7.4.2 Using administrative objects instead of statistical units144

7.5 Creating longitudinal registers – the population145

7.6 Conclusions 146

Chapter 8  How to Create a Register – TheVariables 147

8.1 The variables in the register 147

8.1.1 Variable definitions 148

8.1.2 Variables in statistical science 149

8.1.3 Variables in informatics 150

8.1.4 Creating register variables – check list 151

8.2 Forming derived variables using models 151

8.2.1 Exact calculation of values using a rule 152

8.2.2 Estimating values with a rule 153

8.2.3 Estimating values with a causal model 154

8.2.4 Derived variables and imputed variable values 157

8.2.5 Creating variables by coding 158

8.3 Activity data 159

8.3.1 Activity statistics 160

8.3.2 Activity data aggregated for enterprises and organisations161

8.3.3 Activity data aggregated for persons – multi-valuedvariables 161

8.4 Creating longitudinal registers – the variables165

8.5 Conclusions 169

Chapter 9  How to Create a Register – Editing171

9.1 Editing register data 171

9.1.1 Editing one administrative register 173

9.1.2 Consistency editing – is the population correct75

9.1.3 Consistency editing – are the units correct? 178

9.1.4 Consistency editing – are the variables correct80

9.2 Case studies – editing register data 181

9.2.1 Editing work within the Income and Taxation Register181

9.2.2 Editing work with the Income Statement Register 183

9.2.3 What more can be learned from these examples? 184

9.3 Editing, quality assurance and survey design 185

9.3.1 Survey design in a register-based production system185

9.3.2 Quality assessment in a register-based production system186

9.3.3 Total survey error in a register-based production system191

9.4 Conclusions 192

Chapter 10 Metadata 193

10.1 Primary registers – the need for metadata 193

10.1.1 Documentation of administrative sources 194

10.1.2 Documentation of sources within the system 195

10.1.3 Documentation of a new register 195

10.2 Changes over time – the need for metadata 195

10.3 Integrated registers – the need for metadata 196

10.4 Classification and definitions database 197

10.5 The need for metadata for registers 198

10.6 Conclusions 200

Chapter 11 Estimation Methods – Introduction201

11.1 Estimation in sample surveys and register surveys 202

11.2 Estimation methods for register surveys that use weights203

11.3 Calibration of weights in register surveys 204

11.4 Using weights for estimation 207

11.5 Conclusions 208

Chapter 12 Estimation Methods – Missing Values209

12.1 Make no adjustments, publish ‘value unknown’210

12.2 Adjustment for missing values using weights 214

12.3 Adjustment for missing values by imputation 215

12.4 Missing values in a system of registers 218

12.5 Conclusions 220

Chapter 13 Estimation Methods – Coverage Problems221

13.1 Reducing overcoverage and undercoverage 221

13.1.1 Coverage problems in the Population Register 221

13.1.2 Coverage problems in the Business Register 222

13.2 Estimation methods to correct for overcoverage 224

13.3 Undercoverage in the administrative system 226

13.4 Conclusions 228

Chapter 14 Estimation Methods – Multi-valued Variables229

14.1 Multi-valued variables 229

14.2 Estimation methods 232

14.2.1 Occupation in the Activity and Occupation Registers232

14.2.2 Industrial classification in the Business Register236

14.2.3 Importing many multi-valued variables 238

14.2.4 Consistency between estimates from different registers242

14.2.5 Multi-valued variables – what is done in practice-245

14.2.6 Additional estimation methods 247

14.3 Application of the method 251

14.4 Linking of time series using combination objects 254

14.4.1 Linking time series 254

14.4.2 Changed industrial classification in the BusinessRegister 256

14.5 Conclusions 258

Chapter 15 Theory and Quality of Register-based Statistics259

15.1 Is there a theory for register surveys? 259

15.1.1 Statistical inference at a national statistical office260

15.1.2 Theory-based methods or ad hoc methods 262

15.1.3 The survey approach and the systems approach 263

15.2 Measuring quality – why and how? 267

15.3 Analysing administrative sources – input data quality271

15.4 Output data quality 278

15.5 The integration process – integration errors 279

15.5.1 Creating register populations – coverage errors280

15.5.2 Creating statistical units –errors in units 282

15.5.3 Creating statistical variables – errors in variables 283

15.6 Random variation in register data 288

15.7 The register system and data warehousing 291

15.8 Conclusions 295

Chapter 16 Conclusions 297

References 301

Index 305

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