Advances in Business Statistics, Methods and Data Collection
1. Auflage Januar 2023
896 Seiten, Hardcover
Wiley & Sons Ltd
Preis: 122,00 €
Preis inkl. MwSt, zzgl. Versand
ADVANCES IN BUSINESS STATISTICS, METHODS AND DATA COLLECTION
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.
Section 1: New Measures/Indicators for the Economy (the demand side) (6 chapters)
2. The System of National Accounts: Past and Present Steve MacFeely and Peter van der Ven
3. The System of National Accounts: Future Challenges Peter van der Ven and Steve MacFeely
4. Bridging the Gap between Business- and Macro-economic Statistics: Methodological Considerations and Practical Solutions Timo Koskimäki and Kristian Taskinen
5. Measuring Investment in Intangible Assets Mojca Bavda?, Ahmed Bounfour, Josh Martin, Alberto Nonnis , Giulio Perani, and Tjasa Redek
6. Measuring the US Digital Economy Jessica Nicholson, David Wasshausen, and Thomas Howells
7. Establishment Base Informal Sector Statistics: An Endeavour of Measurement from Economic Census 2018 of Nepal Mahesh Pradhan
Section 2: Topics in the production of official establishment statistics (the supply side) (4 chapters)
8. Statistical Producer Challenges and Help Jacqui Jones and Holly O'Byrne
9. Statistical Business Registers in Indonesia and Australia Willem Erasmus, Luisa Ryan, Ratih Putri Pertiwi, Radenroro Nefriana, and Imam Machdi
10. Managing Response Burden for Official Statistics Business Surveys: Experiences and Recent Developments at Statistics Netherlands, Statistics Portugal, and Statistics Sweden Johan Erikson, Deirdre Giesen, Leanne Houben, and Paulo Saraiva dos Santos
11. Producing Official Statistics during the COVID-19 Pandemic Jacqui Jones, Craig H. McLaren, Duncan Elliott, Dane Mead, Helen Baird, Joseph W. Sakshaug, Corinna Koenig, Marieke Volkert, Tanya Price, and Marie Apostolou
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Section 3: Topics in the use of administrative data
12. Methodology for the Use of Administrative Data in Business Statistics
Arnout van Delden and Danni Lewis
13. Developing Statistical Frameworks for Administrative Data and Integrating It into Business
Statistics: Experiences from the UK and New Zealand
Nicholas Cox, Craig H. McLaren, Claire Shenton, Tom Tarling, and Ella Williams Davies
14. The Evolution of Integrating Administrative Data in Business Statistics in Ireland
Colin Hanley and Sorcha O'Callaghan
Section 4: Topics in business survey data collection
15. Computerized Questionnaires within a Business Environment
16. Tailoring the Design of a New Combined Business Survey to the Business Context: Process,
Methods, and Lessons Learned
Ger Snijkers, Leanne Houben, and Fred Demollin
17. Advances in Question(naire) Development, Pretesting, and Evaluation
Diane K. Willimack, Amy E. Anderson Riemer, Melissa A. Cidade, Kathy Ott, and
18. Using Paradata to Monitor and Evaluate Electronic Business Survey Questionnaires
Ger Snijkers, Susan Demedash, and Jessica Andrews
19. Experiments in Business Surveys
Josh 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
20. Web Portals for Reporting Businesses
Bente Hole and Leanne Houben
21. A Creative Approach to Promoting Survey Response
Charles F. Brady and Kari L. Klinedinst
Section 5: Topics in the use of new data sources and new technologies
22. Statistical Data Production in a Digitised Age: The Need to Establish Successful Workflows
for Micro Data Access
Stefan Bender, Jannick Blaschke, and Christian Hirsch
23. Machine Learning in German Official Statistics
24. Six Years of Machine Learning in the U.S. Bureau of Labor Statistics
25. Using Machine Learning to Classify Products for the US Commodity Flow Survey
Christian Moscardi and Benjamin Schultz
26. Alternative Data Sources in the US Census Bureau's Monthly State Retail Sales Data Product
Rebecca Hutchinson, Scott Scheleur, and Deanna Weidenhamer
Section 6: Topics in sampling and estimation
27. Introduction to Sampling and Estimation for Business Surveys
Paul A. Smith and Wesley Yung
28. Sample Coordination Methods and Systems for Establishment Surveys
Alina Matei and Paul A. Smith
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29. Variance Estimation for Probability and Nonprobability Establishment Surveys: an Overview Jill A. Dever and Dan Liao
30. Bayesian Methods Applied to Small Area Estimation for Establishment Statistics Paul A. Parker, Ryan Janicki, and Scott H. Holan
31. Variance estimation under Nearest Neighbour Hot Deck Imputation for Multinomial Data: Two approaches Applied to the US Service Annual Survey (SAS) Rebecca Andridge, Jae-Kwang Kim, and Katherine Jenny Thompson
32. Minimizing Revisions for a Monthly Economic Indicator Nicole Czaplicki, Stephen Kaputa, and Laura Bechtel
Section 7: Topics in data integration/merging (4 chapters)
33. Record Linkage for Establishments: Background, Challenges, and an Example Michael D. Larsen and Alan Herning
34. Methods for Estimating the Quality of Multisource Statistics Arnout van Delden, Sander Scholtus, Ton de Waal, and Irene Csorba
35. Adopting Previously Reported Data into the 2022 US Census of Agriculture: Lessons Learned from the 2020 US Agricultural Production Survey Linda J. Young, Joseph B. Rodhouse, Zachary Terner, and Gavin Corral
36. Integrating Alternative and Administrative Data into the Monthly Business Statistics: Some Applications from Statistics Canada Marie-Claude Duval, Richard Laroche, and Sébastien Landry
Mojca Bavda~, 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.