The Unit Problem and Other Current Topics in Business Survey Methodology (PDF)

Boris Lorenc is a survey methodology consultant in Tallinn, Estonia. He worked at Statistics Sweden as a senior methodologist, methodology architect and measurement methodologist, and has taught survey methodology and qualitative methods at universities and led survey projects in the private sector. He is a former Co-Editor-in-Chief of the Journal of Official Statistics.Paul A. Smith is Associate Professor in Official Statistics at the University of Southampton, UK. He has extensive experience with business statistics in the UK and internationally, and was editor for the special issue of the Journal of Official Statistics devoted to papers from the Fourth International Conference on Establishment Surveys.Mojca Bavdaž is Associate Professor at the University of Ljubljana, Slovenia. She has a long-lasting research interest in the field of official statistics, focusing on business survey methodology and economic statistics. She is a board member of the European Master in Official Statistics.Gustav Haraldsen is a Senior Advisor in the Division for Methods at Statistics Norway, having previously led the Division for Interviews and the Division for Data Collection Methods. He is a co-author of How to Design and Conduct Business Surveys (2013) and author of the most comprehensive survey methodology textbook in Norwegian.Desislava Nedyalkova is an expert methodologist at the Swiss Federal Statistical Office. She has specialized in different domains of survey sampling, particularly design and model-based inference, coordination of samples and managing response burden, as well as income distributions and measuring inequality.Li-Chun Zhang is Professor of Social Statistics at the University of Southampton, UK. He is also Senior Researcher at Statistics Norway and Professor of Official Statistics at the University of Oslo. He has worked and published on a wide range of topics in official statistics.Thomas Zimmermann is an Advisor in the Department of Mathematical-Statistical

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