Advances in Business Statistics, Methods and Data Collection

• Autore: Bavdaz Mojca
• Pubblicazione: Newark : , : John Wiley & Sons, Incorporated, , 2023; ©2023
• Descrizione fisica: 1 online resource (899 pages)
• Altri autori: BenderStefan JonesJacqui SnijkersGer MacFeelySteve SakshaugJoseph W ThompsonKatherine J van DeldenArnout
• 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.
• Titolo autorizzato: Advances in Business Statistics, Methods and Data Collection
• ISBN: 9781119672319; 9781119672302
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910646199003321
• Lo trovi qui: Univ. Federico II