Register-based Statistics: Statistical Methods for Administrative Data (Wiley Series in Survey Methodology)

Britt Wallgren,Anders Wallgren

ISBN 10: 1119942136 / ISBN 13: 9781119942139

Published by Wiley 2014-05-16, 2014

About this Item

Seller Inventory # 6666-WLY-9781119942139

Bibliographic Details

• Title: Register-based Statistics: Statistical Methods for Administrative Data (Wiley Series in Survey Methodology)
• Publisher: Wiley 2014-05-16
• Publication Date: 2014
• Language: English
• ISBN 10: 1119942136
• ISBN 13: 9781119942139
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

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.

This edition offers a full understanding of both the principles and practices of this increasingly popular area of statistics, and can be considered a first step to a more systematic way of working with register-statistical issues. This book addresses the growing global interest in the topic and employs a much broader, more international approach than the 1st edition. New chapters explore different kinds of register-based surveys, such as preconditions for register-based statistics and comparing sample survey and administrative data. Furthermore, the authors present discussions on register-based census, national accounts and the transition towards a register-based system as well as presenting new chapters on quality assessment of administrative sources and production process quality.

About the Author

Anders Wallgren and Britt Wallgren, Statistics Sweden.