In this part:
- Chapter 5 Institutional arrangements
- A. Purposes of institutional arrangements
- B. Characteristics of effective institutional arrangements
- C. Main types of institutional arrangements
- D. Towards improved institutional arrangements
- E. Institutional arrangements and data quality
- Country Experience: Brazil: division of work on trade data quality (ch. 5)
- Country Experience: Canada: Responsibilities for quality assurance (ch. 5)
- Country Experience: Italy: Cooperation between the National Statistical Institute of Italy (ISTAT) and the National Customs Authority, in particular on data quality (ch. 5)
- Annex V.A Institutional arrangements and the Automated Export System (AES): experience of the United States of America
- Annex V.B. Institutional arrangements for foreign trade statistics: experience of Mexico
- Annex V.C. Integrated Foreign Trade System of Brazil: institutional arrangements
- Annex V.D. Inter-Agency Committee (IAC) on on Trade Statistics of the Philippines: institutional arrangements
- Annex V.E. Experience of China: customs as the responsible agency
- Chapter 6 Statistical territory and organization of data collection
- Chapter 7 Integration of data from different sources
- A. Advantages and limitations of customs and noncustoms data sources
- B. Issues encountered when merging data from different sources
- C. Possible approaches and solutions when merging data from different sources
- D. Examples of the merging of data from other administrative sources with customs data
- E. Examples of the merging of data from enterprise surveys with customs data
- F. Integrated approach to economic statistics
- Chapter 8 Data processing and database management
- Chapter 9 Data quality: assurance, measurement and reporting
- A. Quality assurance
- B. Quality measurement and reporting
- C. Reconciliation studies, cross-country comparability and bilateral data exchanges
- D. Inter-agency collaboration on data quality
- Annex 9.A. Statistical data validation system of Brazil (example for exports)
- Annex 9.B. Automated System for Customs Data (ASYCUDA) data quality assurance, measurement and reporting: controls and reports
- Annex 9.C. Data reconciliation: reasons for differences and further guidance
- Annex 9.D. Conduct of reconciliation studies: the experience of Brazil
- Chapter 10 Data compilation in a customs union
- Chapter 11 Integrating trade and business statistics
- A. Integrated approach to economic statistics
- B. Benefits of integrating trade and business statistics
- C. Integrating trade and business statistics in data compilation: possibilities and examples
- D. Ensuring the quality of the linked data sources and of the linked/integrated data
- E. Generation and dissemination of additional information: possibilities and examples
- F. Required institutional and working arrangements