| 摘要註: |
"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 |
| 內容註: |
Introduction /er Snijkers, Mojca Bavdaž, Stefan Bender, Jacqui Jones, Steve MacFeely, Joseph W. Sakshaug, Katherine Jenny Thompson, and Arnout van Delden Section 1: New Measures/Indicators for the Economy :he System of National Accounts: Past and Present /teve MacFeely and Peter van der Ven. The System of National Accounts: Future Challenges /eter van der Ven and Steve MacFeely. Bridging the Gap between Business- and Macro-economic Statistics: Methodological Considerations and Practical Solutions /imo Koskimäki and Kristian Taskinen. Measuring Investment in Intangible Assets /ojca Bavdaž, Ahmed Bounfour, Josh Martin, Alberto Nonnis, Giulio Perani, and Tjaša Redek. Measuring the US Digital Economy /essica Nicholson, David Wasshausen, and Thomas Howells. Establishment Base Informal Sector Statistics: An Endeavour of Measurement from Economic Census 2018 of Nepal /ahesh Pradhan Section 2: Topics in the production of official establishment statistics :tatistical Producer Challenges and Help /acqui Jones and Holly O'Byrne. Statistical Business Registers in Indonesia and Australia /illem Erasmus, Luisa Ryan, Ratih Putri Pertiwi, Radenroro Nefriana, and Imam Machdi. Managing Response Burden for Official Statistics Business Surveys: Experiences and Recent Developments at Statistics Netherlands, Statistics Portugal, and Statistics Sweden /ohan Erikson, Deirdre Giesen, Leanne Houben, and Paulo Saraiva dos Santos. Producing Official Statistics during the COVID-19 Pandemic /acqui Jones, Craig H. McLaren, Duncan Elliott, Dane Mead, Helen Baird, Joseph W. Sakshaug, Corinna Koenig, Marieke Volkert, Tanya Price, and Marie Apostolou Section 3: Topics in the use of administrative data :ethodology for the Use of Administrative Data in Business Statistics /rnout van Delden and Danni Lewis. Developing Statistical Frameworks for Administrative Data and Integrating It into Business Statistics: Experiences from the UK and New Zealand /icholas Cox, Craig H. McLaren, Claire Shenton, Tom Tarling, and Ella Williams Davies. The Evolution of Integrating Administrative Data in Business Statistics in Ireland /olin Hanley and Sorcha O'Callaghan Section 4: Topics in business survey data collection :omputerized Questionnaires within a Business Environment /ustav Haraldsen. Tailoring the Design of a New Combined Business Survey to the Business Context: Process, Methods, and Lessons Learned /er Snijkers, Leanne Houben, and Fred Demollin. Advances in Question(naire) Development, Pretesting, and Evaluation /iane K. Willimack, Amy E. Anderson Riemer, Melissa A. Cidade, Kathy Ott, and Heather Ridolfo. Using Paradata to Monitor and Evaluate Electronic Business Survey Questionnaires /er Snijkers, Susan Demedash, and Jessica Andrews. Experiments in Business Surveys /osh Langeland, Heather Ridolfo, Jaki McCarthy, Kathy Ott, Doug Kilburg , Karen CyBulski, Melissa Krakowiecki, Larry Vittoriano, Matt Potts, Benjamin Küfner, Joseph W. Sakshaug, and Stefan Zins. Web Portals for Reporting Businesses /ente Hole and Leanne Houben. A Creative Approach to Promoting Survey Response /harles F. Brady and Kari L. Klinedinst Section 5: Topics in the use of new data sources and new technologies :tatistical Data Production in a Digitised Age: The Need to Establish Successful Workflows for Micro Data Access /tefan Bender, Jannick Blaschke, and Christian Hirsch. Machine Learning in German Official Statistics /lorian Dumpert. Six Years of Machine Learning in the U.S. Bureau of Labor Statistics /lexander Measure. Using Machine Learning to Classify Products for the US Commodity Flow Survey /hristian Moscardi and Benjamin Schultz. Alternative Data Sources in the US Census Bureau's Monthly State Retail Sales Data Product /ebecca Hutchinson, Scott Scheleur, and Deanna Weidenhamer Section 6: Topics in sampling and estimation :ntroduction to Sampling and Estimation for Business Surveys /aul A. Smith and Wesley Yung. Sample Coordination Methods and Systems for Establishment Surveys /lina Matei and Paul A. Smith. Variance Estimation for Probability and Nonprobability Establishment Surveys: an Overview /ill A. Dever and Dan Liao. Bayesian Methods Applied to Small Area Estimation for Establishment Statistics /aul A. Parker, Ryan Janicki, and Scott H. Holan. Variance estimation under Nearest Neighbour Hot Deck Imputation for Multinomial Data: Two approaches Applied to the US Service Annual Survey (SAS) /ebecca Andridge, Jae-Kwang Kim, and Katherine Jenny Thompson. Minimizing Revisions for a Monthly Economic Indicator /icole Czaplicki, Stephen Kaputa, and Laura Bechtel Section 7: Topics in data integration/merging :ecord Linkage for Establishments: Background, Challenges, and an Example /ichael D. Larsen and Alan Herning. Methods for Estimating the Quality of Multisource Statistics /rnout van Delden, Sander Scholtus, Ton de Waal, and Irene Csorba. Adopting Previously Reported Data into the 2022 US Census of Agriculture: Lessons Learned from the 2020 US Agricultural Production Survey /inda J. Young, Joseph B. Rodhouse, Zachary Terner, and Gavin Corral. Integrating Alternative and Administrative Data into the Monthly Business Statistics: Some Applications from Statistics Canada /arie-Claude Duval, Richard Laroche, and Sébastien Landry |