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Register-based Statistics : Statistical Methods for Administrative Data.
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 registe...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2014.
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| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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 surveys1.7 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 security3.1.1 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 system4.3 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 System5.1 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.