Advances in business statistics, methods and data collection / / edited by Mojca Bavdaž [and six others]

• Pubblicazione: Hoboken, NJ : , : John Wiley and Sons, Inc., , [2023]; ©2023
• Descrizione fisica: 1 online resource (899 pages)
• Disciplina: 519.5
• Soggetto topico: Commercial statistics - Methodology; Industrial management - Statistical methods; Statistical services
• Persona (resp. second.): BavdazMojca
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Part 1 Introduction to New Measures/Indicators for the Economy -- Chapter 1 Advances in Business Statistics, Methods and Data Collection: Introduction -- 1.1 The ICES‐VI Edited Volume: A New Book on Establishment Statistics Methodology -- 1.2 The Importance of Establishment Statistics -- 1.3 ICES Trends -- 1.4 Organization of This Book -- 1.4.1 Section 1: Introduction to New Measures/Indicators for the Economy -- 1.4.2 Section 2: Topics in the Production of Official Establishment Statistics and Organizational Frameworks -- 1.4.3 Section 3: Topics in the Use of Administrative Data -- 1.4.4 Section 4: Topics in Business Survey Data Collection -- 1.4.5 Section 5: Topics in the Use of New Data Sources and New Technologies -- 1.4.6 Section 6: Topics in Sampling and Estimation -- 1.4.7 Section 7: Topics in Data Integration, Linking and Matching -- 1.5 To Conclude … -- Disclaimer -- References -- Chapter 2 GDP and the SNA: Past and Present -- 2.1 Introduction -- 2.2 The Origins of National Income Statistics - A Brief History -- 2.2.1 Early Developments -- 2.2.2 Invention of Gross National Product (GNP) -- 2.2.3 The Debate on Including Government -- 2.2.4 Toward a System of National Accounts -- 2.2.5 Global Proliferation of GDP -- 2.3 SNA and GDP Today -- 2.3.1 The System at Large -- 2.3.2 Supply and Use Tables -- 2.3.3 Institutional Sector Accounts -- 2.3.4 The Link Between Supply and Use Tables and the Institutional Sector Accounts -- 2.3.5 Consistency and Coherence -- 2.3.6 The Relationship Between National Accounts and Business Statistics -- 2.3.6.1 Definitional Adjustments -- 2.3.6.2 Adjustments for Exhaustiveness -- 2.3.6.3 Adjustments for Time Consistency -- 2.3.6.4 Balancing Adjustments -- 2.4 Most Recent and Important Revisions to SNA (Implications for Business Statistics). ; 2.4.1 International Standards Not Set in Stone -- 2.4.2 From SNA 1968 to SNA 1993 -- 2.4.3 From SNA 1993 to SNA 2008 -- 2.4.4 The SNA and Source Statistics for Enterprises -- 2.5 Conclusions and Implications for Business Statistics -- References -- Chapter 3 GDP and the SNA: Future Challenges -- 3.1 Introduction -- 3.2 An Agenda for the Future -- 3.3 The Tangled Web of Globalization -- 3.4 The Digital Revolution -- 3.5 Moving Beyond GDP: GDP Impeached -- 3.6 Including a Measure of Well‐being -- 3.7 Putting a Value on the Environment -- 3.8 Challenges Replacing GDP -- 3.9 Conclusions and Implications for Business Statistics -- References -- Chapter 4 Bridging the Gap Between Business and Macroeconomic Statistics: Methodological Considerations and Practical Solutions -- 4.1 Introduction -- 4.2 Global Production and Statistics -- 4.2.1 Concepts of Nationality and Economic Ownership -- 4.2.2 Case Finland: Global Production in Economic Statistics -- 4.2.2.1 Identification of Enterprises Involved in Global Production -- 4.2.2.2 Case on Automotive Industry -- 4.2.2.3 Foreign Trade of Goods Based on Economic Ownership -- 4.2.2.4 Challenges Related to Global Production Recordings -- 4.3 Co‐operation Between National Statistical Offices and National Central Bank Statistics Functions Tackling Globalization Problems -- 4.3.1 Foreign Direct Investment Network as an Example of Co‐operation -- 4.3.2 Early‐Warning System (EWS) -- 4.3.3 A Roadmap for Solving the Globalization‐Related Issues in Monetary, Financial, and Balance of Payments - Statistics -- 4.4 Bridging the Gap Between Business and Economic Statistics Through Global Data Sharing -- 4.4.1 Product Innovation - One‐Off or Regular Data Sharing for Better Quality -- 4.4.2 Service Innovation - Improving Respondent Service for MNEs -- 4.4.3 Process Innovation to Statistical Production by Data Sharing. ; 4.4.4 Innovating User Experience - Better Relevance and Consistency for Users -- 4.4.5 Organizational Innovation - Changing the Business Model of Official Statistics -- 4.4.6 Cultural Innovation - Key to Making it Happen -- 4.4.7 Innovation in Other Industries to Learn From -- References -- Chapter 5 Measuring Investment in Intangible Assets -- 5.1 Introduction -- 5.2 Data Sources on Intangibles -- 5.2.1 Past Surveys on Intangibles -- 5.2.2 Comparison of Past Surveys on Intangibles -- 5.3 Measurement Challenges in Surveys -- 5.3.1 Intangibles Are Intangible and Mobile -- 5.3.2 Own‐Account Investment Prevails -- 5.3.3 Pricing of Intangibles Is Difficult -- 5.3.4 In Search of the Most Suitable Respondent for Intangibles -- 5.3.5 Investments in Intangibles Take Time -- 5.3.6 Data Existence Questioned -- 5.3.7 Evidence of Inconsistent Respondent Behavior -- 5.3.8 Summarizing the Challenges in Intangible Surveys: The 4 "F" Words -- 5.4 Intangibles and the Productivity Puzzle -- 5.4.1 Analytical Considerations -- 5.4.2 Role of Global Value Chains -- 5.5 Collecting Data on Intangibles: The Way Ahead -- 5.5.1 Methodological Improvements -- 5.5.2 Data Needs Today and Tomorrow -- 5.5.2.1 Current and Potential Users -- 5.5.2.2 A (Single) IA Survey or a Bundle of Data Sources? -- 5.5.2.3 A Parallel Development Path: Assessing Intangible Asset Stocks -- 5.6 Conclusion -- Acknowledgment -- References -- Chapter 6 Measuring the US Digital Economy -- 6.1 Introduction -- 6.2 Experimental Digital Economy Measures -- 6.2.1 Methodology -- 6.2.1.1 Defining the Digital Economy -- 6.2.1.2 Calculating Results -- 6.2.2 Domestic Trends -- 6.2.2.1 Value Added -- 6.2.2.2 Gross Output -- 6.2.2.3 Prices -- 6.2.3 International Collaboration and Alignment -- 6.2.3.1 The Organization for Economic Co‐operation and Development Working Party on National Accounts. ; 6.2.3.2 International Comparisons -- 6.2.4 Other Areas of Research -- 6.2.4.1 "Free" Digital Media -- 6.2.4.2 Measurement and Treatment of Data -- 6.2.4.3 Prices -- 6.3 Measuring Digital Services Trade -- 6.3.1 Defining Digital Services for International Trade -- 6.3.2 Trends in ICT and ICT‐enabled Services -- 6.3.3 Areas of Research -- 6.4 Conclusion and Way Forward -- References -- Chapter 7 Establishment Based Informal Sector Statistics: An Endeavor of Measurement from Economic Census 2018 of Nepal -- 7.1 Introduction -- 7.2 Issues of Informal Sector in Legislation and Policies in Nepal -- 7.2.1 Constitution 2015 -- 7.2.2 Labor Act 2017 -- 7.2.3 Contribution Based Social Security Act 2017 -- 7.2.4 Fifteenth Periodic Plan (2019/20-2023/24) -- 7.2.5 National Employment Policy 2014 -- 7.3 Concept and Definition of Informal Sector -- 7.3.1 Definition of Informal Sector from Statistical Perspective -- 7.4 Endeavors of Measuring Informal Economic Activities in Nepal -- 7.4.1 Nepal Labor Force Survey -- 7.4.2 Nepal Living Standard Surveys (NLSS) -- 7.4.3 Population Censuses -- 7.5 Economic Census 2018 -- 7.5.1 Contents of Economic Census 2018 -- 7.6 Status of the Informal Sector Statistics -- 7.6.1 Informal Sector Statistics from Nepal Labor Force Survey 1998 and 2008 -- 7.6.2 Informal Sector Statistics from Nepal Labor Force Survey 2017/18 -- 7.6.3 Informal Sector Statistics from National Population Census 2011 -- 7.6.4 Informal Sector Statistics from National Economic Census 2018 -- 7.6.5 Status of Keeping Accounting Record -- 7.6.6 Informality in Micro Small and Medium Establishments (MSME) -- 7.6.7 Street Business Situation -- 7.7 Annual Revenues/Sales, Operating Expenses in Not‐Registered Establishments -- 7.8 Need of Regular Measurement Informal Sector -- 7.9 Conclusion -- References. ; Part 2 Topics in the Production of Official Establishment Statistics and Organizational Frameworks -- Chapter 8 Statistical Producers Challenges and Help -- 8.1 Introduction -- 8.2 A Brief Overview of the Evolution of Economic Statistics, and the Establishment of National Statistical Institutes -- 8.3 Our Statistical Ecosystem -- 8.4 Help Available to Us -- 8.4.1 International Governance -- 8.4.2 Statistical Principles to Produce and Disseminate Official Statistics -- 8.4.3 Statistical Production Models and Frameworks -- 8.4.3.1 Quality Assurance Frameworks -- 8.4.4 Statistical Manuals and Handbooks -- 8.4.5 Classifications -- 8.4.5.1 Classifying Businesses -- 8.4.5.2 Classifying Employment and Workers -- 8.4.5.3 Classifications Overview -- 8.4.6 Statistical Tools -- 8.4.7 International Collaboration and Support -- 8.5 Summary Before the Case Study -- 8.6 Standardization Leads to Efficiency: Canada's Integrated Business Statistics Program -- 8.7 IBSP Objectives -- 8.8 Cornerstones of an Integrated Infrastructure System -- 8.9 Metadata‐Driven Model -- 8.10 Integrated Infrastructure -- 8.11 Information Management -- 8.12 Standardization and Cooperation Within IBSP -- 8.13 The Business Register -- 8.13.1 The BR as the Common Frame -- 8.13.2 Allocation Factors on the BR -- 8.13.3 Commodities and Activities on the BR -- 8.13.4 Robust Methodologies and Generalized Systems -- 8.14 Standard Tools for Developing EQ -- 8.15 Developing a Harmonized Content Model -- 8.16 The IBSP Data Mart and Analytical Tools -- 8.17 Managing Response Burden -- 8.18 Electronic Questionnaires -- 8.19 Large and Complex Enterprises -- 8.19.1 EPM/LAOS Programs -- 8.19.2 Customized Collection -- 8.20 Tax Replacement Strategy -- 8.21 Active Collection Management -- 8.22 Rolling Estimate Model -- 8.23 IBSP Growth and Adaptation -- 8.24 Efficiencies Gained and Learned. ; 8.25 Conclusion.
• Sommario/riassunto: "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"--
• Titolo autorizzato: Advances in business statistics, methods and data collection
• ISBN: 1-119-67233-3; 1-119-67231-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910677787203321
• Lo trovi qui: Univ. Federico II