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.

Table of Contents:
List of Contributors xxix Section 1 Introduction to New Measures/Indicators for the Economy 1 1 Advances in Business Statistics, Methods and Data Collection: Introduction 3 Ger Snijkers, Mojca Bavdaž, Stefan Bender, Jacqui Jones, Steve MacFeely, Joseph W. Sakshaug, Katherine J. Thompson, and Arnout van Delden 2 GDP and the SNA: Past and Present 23 Steve MacFeely and Peter van de Ven 3 GDP and the SNA: Future Challenges 43 Steve MacFeely and Peter van de Ven 4 Bridging the Gap Between Business and Macroeconomic Statistics: Methodological Considerations and Practical Solutions 63 Timo Koskimäki and Kristian Taskinen 5 Measuring Investment in Intangible Assets 79 Mojca Bavdaž, Ahmed Bounfour, Josh Martin, Alberto Nonnis, Giulio Perani, and Tjaša Redek 6 Measuring the US Digital Economy 105 Jessica R. Nicholson, Thomas F. Howells III, and David B. Wasshausen 7 Establishment Based Informal Sector Statistics: An Endeavor of Measurement from Economic Census 2018 of Nepal 125 Mahesh C. Pradhan Section 2 Topics in the Production of Official Establishment Statistics and Organizational Frameworks 145 8 Statistical Producers Challenges and Help 147 Jacqui Jones and Holly O’Byrne 9 The Development and Maintenance of Statistical Business Registers as Statistical Infrastructure in Statistics Indonesia and the Australian Bureau of Statistics 175 Imam Machdi, Ratih Putri Pertiwi, Rr. Nefriana, and Willem Erasmus 10 Managing Response Burden for Official Statistics Business Surveys – Experiences and Recent Developments at Statistics Netherlands, Statistics Portugal, and Statistics Sweden 193 Johan Erikson, Deirdre Giesen, Leanne Houben, and Paulo Saraiva 11 Producing Official Statistics During the COVID-19 Pandemic 225 Jacqui Jones, Luisa Ryan, A.J. Lanyon, Marie Apostolou, Tanya Price, Corinna König, Marieke Volkert, Joseph W. Sakshaug, Dane Mead, Helen Baird, Duncan Elliott, and Craig H. McLaren Section 3 Topics in the Use of Administrative Data 265 12 Methodology for the Use of Administrative Data in Business Statistics 267 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 291 Nicholas Cox, Craig H. McLaren, Claire Shenton, Tom Tarling, and Ella W. Davies 14 The Evolution of Integrating Administrative Data in Business Statistics in Ireland 315 Colin Hanley and Sorcha O’Callaghan Section 4 Topics in Business Survey Data Collection 335 15 What Computerized Business Questionnaires and Questionnaire Management Tools Can Offer 337 Gustav Haraldsen 16 Tailoring the Design of a New Combined Business Survey: Process, Methods, and Lessons Learned 357 Ger Snijkers, Leanne Houben, and Fred Demollin 17 Advances in Question(naire) Development, Pretesting, and Evaluation 387 Diane K. Willimack, Heather Ridolfo, Amy Anderson Riemer, Melissa Cidade, and Kathy Ott 18 Using Paradata in Electronic Business Survey Questionnaires 413 Ger Snijkers, Susan Demedash, and Jessica Andrews 19 Recent Findings from Experiments in Establishment Surveys 437 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 Business Data Collection 469 Bente Hole and Leanne Houben 21 A Creative Approach to Promoting Survey Response 501 Charles F. Brady, Jr. and Kari L. Klinedinst Section 5 Topics in the Use of New Data Sources and New Technologies 519 22 Statistical Data Production in a Digitized Age: The Need to Establish Successful Workflows for Micro Data Access 521 Stefan Bender, Jannick Blaschke, and Christian Hirsch 23 Machine Learning in German Official Statistics 537 Florian Dumpert 24 Six Years of Machine Learning in the Bureau of Labor Statistics 561 Alexander Measure 25 Using Machine Learning to Classify Products for the Commodity Flow Survey 573 Christian Moscardi and Benjamin Schultz 26 Alternative Data Sources in the Census Bureau’s Monthly State Retail Sales Data Product 593 Rebecca Hutchinson, Scott Scheleur, and Deanna Weidenhamer Section 6 Topics in Sampling and Estimation 613 27 Introduction to Sampling and Estimation for Business Surveys 615 Paul A. Smith and Wesley Yung 28 Sample Coordination Methods and Systems for Establishment Surveys 637 Alina Matei and Paul A. Smith 29 Variance Estimation for Probability and Nonprobability Establishment Surveys: An Overview 659 Jill A. Dever and Dan Liao 30 Bayesian Methods Applied to Small Area Estimation for Establishment Statistics 685 Paul A. Parker, Ryan Janicki, and Scott H. Holan 31 Variance Estimation Under Nearest Neighbor Ratio Hot Deck Imputation for Multinomial Data: Two Approaches Applied to the Service Annual Survey (sas) 705 Rebecca Andridge, Jae Kwang Kim, and Katherine J. Thompson 32 Minimizing Revisions for a Monthly Economic Indicator 727 Nicole Czaplicki, Stephen Kaputa, and Laura Bechtel Section 7 Topics in Data Integration, Linking and Matching 755 33 Record Linkage for Establishments: Background, Challenges, and an Example 757 Michael D.Larsen and Alan Herning 34 Methods for Estimating the Quality of Multisource Statistics 781 Arnout van Delden, Sander Scholtus, Ton de Waal, and Irene Csorba 35 Adopting Previously Reported Data into the 2022 Census of Agriculture: Lessons Learned from the 2020 September Agricultural Survey 805 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 821 Marie-Claude Duval, Richard Laroche, and Sébastien Landry Acknowledgments 837 References 838 Index 839