About this ebook
Advances in Business Statistics, Methods and Data Collection delivers insights into the latest state of play in producing establishment statistics, obtained from businesses, farms and institutions. Presenting materials and reflecting discussions from the 6th International Conference on Establishment Statistics (ICES-VI), this edited volume provides a broad overview of methodology underlying current establishment statistics from every aspect of the production life cycle while spotlighting innovative and impactful advancements in the development, conduct, and evaluation of modern establishment statistics programs. Highlights include:
- Practical discussions on agile, timely, and accurate measurement of rapidly evolving economic phenomena such as globalization, new computer technologies, and the informal sector.
- Comprehensive explorations of administrative and new data sources and technologies, covering big (organic) data sources and methods for data integration, linking, machine learning and visualization.
- Detailed compilations of statistical programs’ responses to wide-ranging data collection and production challenges, among others caused by the Covid-19 pandemic.
- In-depth examinations of business survey questionnaire design, computerization, pretesting methods, experimentation, and paradata.
- Methodical presentations of conventional and emerging procedures in survey statistics techniques for establishment statistics, encompassing probability sampling designs and sample coordination, non-probability sampling, missing data treatments, small area estimation and Bayesian methods.
Providing a broad overview of most up-to-date science, this book challenges the status quo and prepares researchers for current and future challenges in establishment statistics and methods. Perfect for survey researchers, government statisticians, National Bank employees, economists, and undergraduate and graduate students in survey research and economics, Advances in Business Statistics, Methods and Data Collection will also earn a place in the toolkit of researchers working –with data– in industries across a variety of fields.
About the author
Ger Snijkers, PhD, is Senior Methodologist at Statistics Netherlands and former Professor of data collection methodology in business research at Utrecht University in the Netherlands.
Mojca Bavdaž, PhD, is Associate Professor at the School of Economics and Business, University of Ljubljana, Slovenia.
Stefan Bender, is Head of the Data Service Center of the Deutsche Bundesbank and Honorary Professor at the School of Social Sciences, University Mannheim, Germany.
Jacqui Jones is the General Manager of Macroeconomic Statistics at the Australian Bureau of Statistics. She formerly worked at the UK Office for National Statistics.
Steve MacFeely, PhD, is Director of Data and Analytics at the World Health Organization (WHO) and co-chair of the Committee of Chief Statisticians of the UN System. Formerly he was Chief Statistician of the United Nations Conference on Trade and Development (UNCTAD) and the Deputy Director of the Central Statistics Office, Ireland.
Joseph W. Sakshaug, PhD, is Professor at the Institute for Employment Research and Department of Statistics at the Ludwig Maximilian University of Munich, Germany.
Katherine J. Thompson is the Senior Mathematical Statistician in the Associate Directorate for Economic Programs at the U.S. Census Bureau.
Arnout van Delden, PhD, is Senior Methodologist in the use of administrative data and multisource statistics at Statistics Netherlands.
