Advances in business statistics, methods and data collection / edited by Ger Snijkers, [and 7 others].

Includes bibliographical references and index.

Section 1. Introduction to new measures/indicators for the economy -- Advances in business statistics, methods and collection: introduction -- GDP and the SNA: past and present -- GDP and the SNA: future challenges -- Bridging the gap between business and macro-economic statistics: methodological considerations and practical solutions -- Measuring investment in intangible assets -- Measuring the US digital economy -- Establishment base informal sector statistics: an endeavor of measurement from economic census 2018 of Nepal -- Section 2. Topics in the production of official establishment statistics and organizational frameworks -- Statistical producer challenges and help -- The development and maintenance of statistical business registers as statistical infrastructure in statistics Indonesia and the Australian bureau of statistics -- Managing response burden for official statistics business surveys - experiences and recent developments at statistics Netherlands, statistics Portugal, and statistics Sweden -- Producing official statistics during the COVID-19 pandemic -- Section 3. Topics in the use of administrative data -- Methodology for the use of administrative data in business statistics -- Developing statistical frameworks for administrative data and integrating it into business statistics. Experiences from the UK and New Zealand -- The evolution of integrating administrative data in business statistics in Ireland -- Section 4. Topics in business survey data collection -- What computerized business questionnaires and questionnaire management tools can offer -- Tailoring the design of a new combined business survey: process, methods, and lessons learned -- Advances in question(naire) development, pretesting, and evaluation -- Using paradata tin electronic business survey questionnaires -- Recent findings from experiments in establishment surveys -- Web portals for Business data collection -- A creative approach to promoting survey response -- Section 5. Topics in the use of new data sources and new technologies -- Statistical data production in a digitised age: the need to establish successful workflows for micro data access -- Machine learning in German official statistics -- Six years of machine learning in the bureau of labor statistics -- Using machine learning to classify products for the commodity flow survey -- Alternative data sources in the census bureau's monthly state retail sales data product -- Section 6. Topics in sampling and estimation -- Introduction to sampling and estimation for business surveys -- Sample coordination methods and systems for establishment surveys -- Variance estimation for probability and nonprobability establishment surveys: an overview -- Bayesian methods applied to small area estimation for establishment statistics -- Variance estimation under nearest neighbor ratio hot deck imputation for multinomial data: two approaches applied to the service annual survey (SAS) -- Minimizing revisions for a monthly economic indicator -- Section 7. Topics in data integration, linking and matching -- Record linkage for establishments: background, challenges, and an example -- Methods for estimating the quality of multisource statistics -- Adopting previously reported data into the 2022 census of agriculture: lessons learned from the 2020 September agricultural survey -- Integrating alternative and administrative data into the monthly business statistics: some applications from statistics Canada.

"The latest developments in the production of business statistics, methods, and data collection In Advances in Business Statistics, Methods and Data Collection, distinguished researcher Dr. Ger Snijkers delivers an invaluable collection of new issues in business statistics, as well as its methods, and in the collection of business data. This edited volume offers new developments in business surveys--including discussions of non-probability sampling and web surveys--and statistical process control, the use of secondary data sources, register methodology, and possibilities presented by the Internet of Things. The included works present some of the most innovative and impactful developments in the optimization of the development, conduct, and evaluation of modern business programs. These include advancements in big data, machine learning, and advanced visualization. Providing a broad overview of the most up-to-date changes in business statistics and data, this book challenges the status quo and prepares researchers for future challenges"-- Provided by publisher.