Advances in business statistics, methods and data collection /
Advances in business statistics, methods and data collection /
edited by Ger Snijkers [and 7 others].
- 1 online resource (xxxvi, 856 pages) : illustrations
Includes bibliographical references and index.
Introduction / The System of National Accounts: Past and Present / The System of National Accounts: 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 Endeavour of Measurement from Economic Census 2018 of Nepal / Statistical Producer Challenges and Help / Statistical Business Registers in Indonesia and Australia / 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 / 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 / Computerized Questionnaires within a Business Environment / Tailoring the Design of a New Combined Business Survey to the Business Context: Process, Methods, and Lessons Learned / Advances in Question(naire) Development, Pretesting, and Evaluation / Using Paradata to Monitor and Evaluate Electronic Business Survey Questionnaires / Experiments in Business Surveys / Web Portals for Reporting Businesses / A Creative Approach to Promoting Survey Response / 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 U.S. Bureau of Labor Statistics / Using Machine Learning to Classify Products for the US Commodity Flow Survey / Alternative Data Sources in the US Census Bureau's Monthly State Retail Sales Data Product / 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 Neighbour Hot Deck Imputation for Multinomial Data: Two approaches Applied to the US Service Annual Survey (SAS) / Minimizing Revisions for a Monthly Economic Indicator / Record Linkage for Establishments: Background, Challenges, and an Example / Methods for Estimating the Quality of Multisource Statistics / Adopting Previously Reported Data into the 2022 US Census of Agriculture: Lessons Learned from the 2020 US Agricultural Production Survey / Integrating Alternative and Administrative Data into the Monthly Business Statistics: Some Applications from Statistics Canada / Ger Snijkers, Mojca Bavda�z, Stefan Bender, Jacqui Jones, Steve MacFeely, Joseph W. Sakshaug, Katherine Jenny Thompson, and Arnout van Delden -- Steve MacFeely and Peter van der Ven. Peter van der Ven and Steve MacFeely. Timo Koskim�aki and Kristian Taskinen. Mojca Bavda�z, Ahmed Bounfour, Josh Martin, Alberto Nonnis, Giulio Perani, and Tja�sa Redek. Jessica Nicholson, David Wasshausen, and Thomas Howells. Mahesh Pradhan -- Jacqui Jones and Holly O'Byrne. Willem Erasmus, Luisa Ryan, Ratih Putri Pertiwi, Radenroro Nefriana, and Imam Machdi. Johan Erikson, Deirdre Giesen, Leanne Houben, and Paulo Saraiva dos Santos. Jacqui Jones, Craig H. McLaren, Duncan Elliott, Dane Mead, Helen Baird, Joseph W. Sakshaug, Corinna Koenig, Marieke Volkert, Tanya Price, and Marie Apostolou -- Arnout van Delden and Danni Lewis. Nicholas Cox, Craig H. McLaren, Claire Shenton, Tom Tarling, and Ella Williams Davies. Colin Hanley and Sorcha O'Callaghan -- Gustav Haraldsen. Ger Snijkers, Leanne Houben, and Fred Demollin. Diane K. Willimack, Amy E. Anderson Riemer, Melissa A. Cidade, Kathy Ott, and Heather Ridolfo. Ger Snijkers, Susan Demedash, and Jessica Andrews. Josh Langeland, Heather Ridolfo, Jaki McCarthy, Kathy Ott, Doug Kilburg , Karen CyBulski, Melissa Krakowiecki, Larry Vittoriano, Matt Potts, Benjamin K�ufner, Joseph W. Sakshaug, and Stefan Zins. Bente Hole and Leanne Houben. Charles F. Brady and Kari L. Klinedinst -- Stefan Bender, Jannick Blaschke, and Christian Hirsch. Florian Dumpert. Alexander Measure. Christian Moscardi and Benjamin Schultz. Rebecca Hutchinson, Scott Scheleur, and Deanna Weidenhamer -- Paul A. Smith and Wesley Yung. Alina Matei and Paul A. Smith. Jill A. Dever and Dan Liao. Paul A. Parker, Ryan Janicki, and Scott H. Holan. Rebecca Andridge, Jae-Kwang Kim, and Katherine Jenny Thompson. Nicole Czaplicki, Stephen Kaputa, and Laura Bechtel -- Michael D. Larsen and Alan Herning. Arnout van Delden, Sander Scholtus, Ton de Waal, and Irene Csorba. Linda J. Young, Joseph B. Rodhouse, Zachary Terner, and Gavin Corral. Marie-Claude Duval, Richard Laroche, and S�ebastien Landry. Section 1: New Measures/Indicators for the Economy: Section 2: Topics in the production of official establishment statistics: Section 3: Topics in the use of administrative data: Section 4: Topics in business survey data collection: Section 5: Topics in the use of new data sources and new technologies: Section 6: Topics in sampling and estimation: Section 7: Topics in data integration/merging:
"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"--
9781119672326 1119672325 9781119672333 1119672333 1119672317 9781119672319
9781119672302 O'Reilly Media
2022017114
GBC399456 bnb
021049499 Uk
Commercial statistics--Methodology.
Industrial management--Statistical methods.
Statistical services.
Gestion d'entreprise--M�ethodes statistiques.
Services statistiques.
Commercial statistics--Methodology
Industrial management
Statistical services
HF1017 / .A347 2023
519.5
Includes bibliographical references and index.
Introduction / The System of National Accounts: Past and Present / The System of National Accounts: 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 Endeavour of Measurement from Economic Census 2018 of Nepal / Statistical Producer Challenges and Help / Statistical Business Registers in Indonesia and Australia / 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 / 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 / Computerized Questionnaires within a Business Environment / Tailoring the Design of a New Combined Business Survey to the Business Context: Process, Methods, and Lessons Learned / Advances in Question(naire) Development, Pretesting, and Evaluation / Using Paradata to Monitor and Evaluate Electronic Business Survey Questionnaires / Experiments in Business Surveys / Web Portals for Reporting Businesses / A Creative Approach to Promoting Survey Response / 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 U.S. Bureau of Labor Statistics / Using Machine Learning to Classify Products for the US Commodity Flow Survey / Alternative Data Sources in the US Census Bureau's Monthly State Retail Sales Data Product / 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 Neighbour Hot Deck Imputation for Multinomial Data: Two approaches Applied to the US Service Annual Survey (SAS) / Minimizing Revisions for a Monthly Economic Indicator / Record Linkage for Establishments: Background, Challenges, and an Example / Methods for Estimating the Quality of Multisource Statistics / Adopting Previously Reported Data into the 2022 US Census of Agriculture: Lessons Learned from the 2020 US Agricultural Production Survey / Integrating Alternative and Administrative Data into the Monthly Business Statistics: Some Applications from Statistics Canada / Ger Snijkers, Mojca Bavda�z, Stefan Bender, Jacqui Jones, Steve MacFeely, Joseph W. Sakshaug, Katherine Jenny Thompson, and Arnout van Delden -- Steve MacFeely and Peter van der Ven. Peter van der Ven and Steve MacFeely. Timo Koskim�aki and Kristian Taskinen. Mojca Bavda�z, Ahmed Bounfour, Josh Martin, Alberto Nonnis, Giulio Perani, and Tja�sa Redek. Jessica Nicholson, David Wasshausen, and Thomas Howells. Mahesh Pradhan -- Jacqui Jones and Holly O'Byrne. Willem Erasmus, Luisa Ryan, Ratih Putri Pertiwi, Radenroro Nefriana, and Imam Machdi. Johan Erikson, Deirdre Giesen, Leanne Houben, and Paulo Saraiva dos Santos. Jacqui Jones, Craig H. McLaren, Duncan Elliott, Dane Mead, Helen Baird, Joseph W. Sakshaug, Corinna Koenig, Marieke Volkert, Tanya Price, and Marie Apostolou -- Arnout van Delden and Danni Lewis. Nicholas Cox, Craig H. McLaren, Claire Shenton, Tom Tarling, and Ella Williams Davies. Colin Hanley and Sorcha O'Callaghan -- Gustav Haraldsen. Ger Snijkers, Leanne Houben, and Fred Demollin. Diane K. Willimack, Amy E. Anderson Riemer, Melissa A. Cidade, Kathy Ott, and Heather Ridolfo. Ger Snijkers, Susan Demedash, and Jessica Andrews. Josh Langeland, Heather Ridolfo, Jaki McCarthy, Kathy Ott, Doug Kilburg , Karen CyBulski, Melissa Krakowiecki, Larry Vittoriano, Matt Potts, Benjamin K�ufner, Joseph W. Sakshaug, and Stefan Zins. Bente Hole and Leanne Houben. Charles F. Brady and Kari L. Klinedinst -- Stefan Bender, Jannick Blaschke, and Christian Hirsch. Florian Dumpert. Alexander Measure. Christian Moscardi and Benjamin Schultz. Rebecca Hutchinson, Scott Scheleur, and Deanna Weidenhamer -- Paul A. Smith and Wesley Yung. Alina Matei and Paul A. Smith. Jill A. Dever and Dan Liao. Paul A. Parker, Ryan Janicki, and Scott H. Holan. Rebecca Andridge, Jae-Kwang Kim, and Katherine Jenny Thompson. Nicole Czaplicki, Stephen Kaputa, and Laura Bechtel -- Michael D. Larsen and Alan Herning. Arnout van Delden, Sander Scholtus, Ton de Waal, and Irene Csorba. Linda J. Young, Joseph B. Rodhouse, Zachary Terner, and Gavin Corral. Marie-Claude Duval, Richard Laroche, and S�ebastien Landry. Section 1: New Measures/Indicators for the Economy: Section 2: Topics in the production of official establishment statistics: Section 3: Topics in the use of administrative data: Section 4: Topics in business survey data collection: Section 5: Topics in the use of new data sources and new technologies: Section 6: Topics in sampling and estimation: Section 7: Topics in data integration/merging:
"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"--
9781119672326 1119672325 9781119672333 1119672333 1119672317 9781119672319
9781119672302 O'Reilly Media
2022017114
GBC399456 bnb
021049499 Uk
Commercial statistics--Methodology.
Industrial management--Statistical methods.
Statistical services.
Gestion d'entreprise--M�ethodes statistiques.
Services statistiques.
Commercial statistics--Methodology
Industrial management
Statistical services
HF1017 / .A347 2023
519.5