Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Register Surveys - An Introduction -- 1.1 The purpose of the book -- 1.2 The need for a new theory and new methods -- 1.3 Four ways of using administrative registers -- 1.4 Preconditions for register-based statistics -- 1.4.1 Reliable administrative systems -- 1.4.2 Legal base and public approval -- 1.5 Basic concepts and terms -- 1.5.1 What is a statistical survey? -- 1.5.2 What is a register? -- 1.5.3 What is a register survey? -- 1.5.4 The Income and Taxation Register -- 1.5.5 The Quarterly and Annual Pay Registers -- 1.6 Comparing sample surveys and register surveys -- 1.7 Conclusions -- Chapter 2 The Nature of Administrative Data -- 2.1 Different kinds of administrative data -- 2.2 How are data recorded? -- 2.3 Administrative and statistical information systems -- 2.4 Measurement errors in statistical and administrative data -- 2.5 Why use administrative data for statistics? -- 2.6 Comparing sample survey and administrative data -- 2.6.1 A questionnaire to persons compared with register data -- 2.6.2 An enterprise questionnaire compared with register data -- 2.7 Conclusions -- Chapter 3 Protection of Privacy and Confidentiality -- 3.1 Internal security -- 3.1.1 No text in output databases -- 3.1.2 Existence of identity numbers -- 3.2 Disclosure risks - tables -- 3.2.1 Rules for tables with counts, totals and mean values -- 3.2.2 The threshold rule - analyse complete tables -- 3.2.3 Frequency tables are often misunderstood -- 3.2.4 Combining tables can cause disclosure -- 3.3 Disclosure risks - microdata -- 3.4 Conclusions -- Chapter 4 The Register System -- 4.1 A register model based on object types and relations -- 4.1.1 The register system and protection of privacy -- 4.1.2 The register system and data warehousing -- 4.2 Organising the work with the system.

4.3 The populations in the system -- 4.3.1 How to produce consistent register-based statistics -- 4.3.2 Registers and time -- 4.3.3 Populations, variables and time -- 4.4 The variables in the system -- 4.4.1 Standardised variables in the register system -- 4.4.2 Derived variables -- 4.4.3 Variables with different origins -- 4.4.4 Variables with different functions in the system -- 4.5 Using the system for micro integration -- 4.6 Three kinds of registers with different roles -- 4.7 Register systems and register surveys within enterprises -- 4.8 Conclusions -- Chapter 5 The Base Registers in the System -- 5.1 Characteristics of a base register -- 5.2 Requirements for base registers -- 5.2.1 Defining and deriving statistical units -- 5.2.2 Objects and identities - requirements for a base register -- 5.2.3 Coverage and spanning variables in base registers -- 5.3 The Population Register -- 5.4 The Business Register -- 5.5 The Real Estate Register -- 5.6 The Activity Register -- 5.7 Everyone should support the base registers -- 5.8 Conclusions -- Chapter 6 How to Create a Register - Matching and Combining Sources -- 6.1 Preconditions in different countries -- 6.2 Matching methods and problems -- 6.2.1 Deterministic record linkage -- 6.2.2 Probabilistic record linkage -- 6.2.3 Four causes of matching errors -- 6.3 Matching sources with different object types -- 6.4 Conclusions -- Chapter 7 How to Create a Register - The Population -- 7.1 How should register surveys be structured? -- 7.2 Register survey design -- 7.2.1 Determining the research objectives -- 7.2.2 Making an inventory of different sources -- 7.2.3 Analysing the usability of administrative sources -- 7.3 Defining a register's object set -- 7.3.1 Defining a population -- 7.3.2 Can you alter data from the National Tax Agency? -- 7.3.3 Defining a population - primary registers.

7.3.4 Defining a population - integrated registers -- 7.3.5 Defining a calendar year population -- 7.3.6 Defining a population - frame or register population? -- 7.3.7 Base registers should be used when defining populations -- 7.4 Defining the statistical units -- 7.4.1 Units and identities when creating primary registers -- 7.4.2 Using administrative objects instead of statistical units -- 7.5 Creating longitudinal registers - the population -- 7.6 Conclusions -- Chapter 8 How to Create a Register - The Variables -- 8.1 The variables in the register -- 8.1.1 Variable definitions -- 8.1.2 Variables in statistical science -- 8.1.3 Variables in informatics -- 8.1.4 Creating register variables - checklist -- 8.2 Forming derived variables using models -- 8.2.1 Exact calculation of values using a rule -- 8.2.2 Estimating values with a rule -- 8.2.3 Estimating values with a causal model -- 8.2.4 Derived variables and imputed variable values -- 8.2.5 Creating variables by coding -- 8.3 Activity data -- 8.3.1 Activity statistics -- 8.3.2 Activity data aggregated for enterprises and organisations -- 8.3.3 Activity data aggregated for persons: multi-valued variables -- 8.4 Creating longitudinal registers - the variables -- 8.5 Conclusions -- Chapter 9 How to Create a Register - Editing -- 9.1 Editing register data -- 9.1.1 Editing one administrative register -- 9.1.2 Consistency editing - is the population correct? -- 9.1.3 Consistency editing - are the units correct? -- 9.1.4 Consistency editing - are the variables correct? -- 9.2 Case studies - editing register data -- 9.2.1 Editing work within the Income and Taxation Register -- 9.2.2 Editing work with the Income Statement Register -- 9.2.3 What more can be learned from these examples? -- 9.3 Editing, quality assurance and survey design -- 9.3.1 Survey design in a register-based production system.

9.3.2 Quality assessment in a register-based production system -- 9.3.3 Total survey error in a register-based production system -- 9.4 Conclusions -- Chapter 10 Metadata -- 10.1 Primary registers - the need for metadata -- 10.1.1 Documentation of administrative sources -- 10.1.2 Documentation of sources within the system -- 10.1.3 Documentation of a new register -- 10.2 Changes over time - the need for metadata -- 10.3 Integrated registers - the need for metadata -- 10.4 Classification and definitions database -- 10.5 The need for metadata for registers -- 10.6 Conclusions -- Chapter 11 Estimation Methods - Introduction -- 11.1 Estimation in sample surveys and register surveys -- 11.2 Estimation methods for register surveys that use weights -- 11.3 Calibration of weights in register surveys -- 11.4 Using weights for estimation -- 11.5 Conclusions -- Chapter 12 Estimation Methods - Missing Values -- 12.1 Make no adjustments, publish 'value unknown' -- 12.2 Adjustment for missing values using weights -- 12.3 Adjustment for missing values by imputation -- 12.4 Missing values in a system of registers -- 12.5 Conclusions -- Chapter 13 Estimation Methods - Coverage Problems -- 13.1 Reducing overcoverage and undercoverage -- 13.1.1 Coverage problems in the Population Register -- 13.1.2 Coverage problems in the Business Register -- 13.2 Estimation methods to correct for overcoverage -- 13.3 Undercoverage in the administrative system -- 13.4 Conclusions -- Chapter 14 Estimation Methods - Multi-valued Variables -- 14.1 Multi-valued variables -- 14.2 Estimation methods -- 14.2.1 Occupation in the Activity and Occupation Registers -- 14.2.2 Industrial classification in the Business Register -- 14.2.3 Importing many multi-valued variables -- 14.2.4 Consistency between estimates from different registers -- 14.2.5 Multi-valued variables - what is done in practice?.

14.2.6 Additional estimation methods -- 14.3 Application of the method -- 14.4 Linking of time series using combination objects -- 14.4.1 Linking time series -- 14.4.2 Changed industrial classification in the Business Register -- 14.5 Conclusions -- Chapter 15 Theory and Quality of Register-based Statistics -- 15.1 Is there a theory for register surveys? -- 15.1.1 Statistical inference at a national statistical office -- 15.1.2 Theory-based methods or ad hoc methods -- 15.1.3 The survey approach and the systems approach -- 15.2 Measuring quality - why and how? -- 15.3 Analysing administrative sources - input data quality -- 15.4 Output data quality -- 15.5 The integration process - integration errors -- 15.5.1 Creating register populations - coverage errors -- 15.5.2 Creating statistical units - errors in units -- 15.5.3 Creating statistical variables - errors in variables -- 15.6 Random variation in register data -- 15.7 The register system and data warehousing -- 15.8 Conclusions -- Chapter 16 Conclusions -- References -- Index.