Since 2015, the TrainForTrade programme in collaboration with UNCTAD/Stats started working on the subject of trade statistics with the first topic addressing Statistics on International Trade in Services.
Statistics on International Trade in Services (SITS)
A training package that directly addresses the aims of Goal 17 of Agenda 2030 for Sustainable Development has been developed jointly by UNCTAD, the World Trade Organization and the UN Statistics Division and has benefited from the close collaboration of the Inter-Agency Task Force on ‘Statistics of International Trade.
1 – Objectives
The main objectives of the course are to raise awareness of Trade in Services’ Statistics and its concepts, enhance statisticians’ ability to do their work, and to help them better understand the manual on Statistics of International Trade in Services (MSITS 2010).
2 – Target Population
- Compilers and producers of data (Statistics on International trade in services, Balance of Payments (BoP), Business statistics, etc): BoP Statisticians (from Central Banks or National Statistical Institutes); Statistical Officers in Trade and Services; National Accountants; Business statisticians
- Data users: Ministries (Tourism, Trade, Economy, Finance); Other industry players (economists, lawyers, etc.)
3 – Modules
|MODULE||At the end of this module, participants are able to|
|Module 1 – Importance of Statistics on International Trade in Services & main concepts||
|Module 2 – setting up pre-requisites for data collection and compilation||
|Module 3 – Data sources and collection||
|Module 4 – Data Compilation (BOP STIS)||
|Module 5 – Data Compilation (FATS)||
|Module 6 – Dissemination and Analysis||
4 – Deliveries
- The distance learning course on Statistics on International Trade in Services, was successfully organized by the Association of Caribbean States (ACS), the Secretaría de Integración Económica Centroamericana (SIECA) and UNCTAD. It was delivered from 1st March to 10th April 2016, in response to a number of demands for technical assistance in the compilation of trade-in-services statistics.
- Delivery for LDCs in preparation for the WTO face-to-face Course on Statistics on International Trade in Services in October 2016. The online course was very useful to the participants in achieving a common ground and same level of understanding on the subject. The WTO face-to-face workshop gives the opportunity for participants to delve into the details of Trade in Services Statistics and identify gaps in the national statistics in order to be compliant with the international standard on this topic. WTO has renewed its interest to deliver the course in 2017 in collaboration with TrainForTrade and UNCTAD/Stat.
5 – Testimonies
- This course provided me with a lot of relevant information. I can say that one of the strongest aspect of this course is the way the modules are laid out and how they flow into one another. Now that I am better informed it has aided with my development as a statistician. Yes, I will indeed use all the knowledge gained from this course in the future as a statistician. I have already recommended this course to others and will continue to do so. The knowledge gained from this course has truly helped me to understand statistics better.
- Continue hosting other online courses of this nature to encourage a cross-section of participants with varied expertise to share their experiences and dialogue exchanges.
- Thanks to the team for their effort, you did a really great job developing this course which helped me to improve my knowledge about trade in service and the importance that my country has to have to develop inter-institutional mechanism and legal framework to collect useful data and dissemination.
International Merchandise Trade Statistics (IMTS)
A DACUM (Design a Curriculum), part of the TrainForTrade methodology has been organised to define the framework of the course in March 2017. The course will be available through a blended learning model before the end of the year. This course is developed jointly by UNCTAD, the World Trade Organization and the UN Statistics Division.