Details

Autor(en) / Beteiligte

• Wallgren, Anders,
• Wallgren, Britt,

Titel

Register-based statistics : statistical methods for administrative data

Auflage

Second edition

Ort / Verlag

Chichester, England : Wiley,

Erscheinungsjahr

2014

Link zum Volltext

• Wiley Online Library - AutoHoldings Books

Beschreibungen/Notizen

• Description based upon print version of record.
• Includes bibliographical references and index.
• 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
• 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.
• English
• Description based on print version record.