Statistical Capacity Building for National Accounts Some

Statistical Capacity Building for National Accounts – Some Experiences “Implementation of the 2008 SNA in Africa” Seminar Addis Abeba 11 – 15 April 2011 Seite

The Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) Gmb. H Established on 1 January 2011, GIZ brings together under one roof the long-standing expertise of DED, GTZ und In. WEnt. Our registered offices are in Bonn and Eschborn. As a 100% federally owned, public-benefit enterprise, we support the German Government in achieving its development policy goals. 3/16/2018 Seite 22 Page

GIZ worldwide • GIZ operates in more than 130 countries worldwide. • In Germany we maintain a presence in nearly all the federal states. • GIZ employs approximately 17, 000 staff members worldwide, more than 60% of whom are local personnel. In addition there are: - 1, 135 technical advisors - 750 integrated and 324 returning experts - 700 local experts in partner organisations - 850 weltwärts volunteers 3/16/2018 Seite 33 Page

GIZ worldwide 3/16/2018 Seite 44 Page

GIZ Statistics • Founded 1973 as CDG Munich Centre in particular to support the EU-ACP cooperation, later In. WEnt Centre • For more than 35 years a brand name for Statistical Capacity Building in particular in Sub-Saharan Africa 3/16/2018 Seite 55 Page

GIZ Statistics • Cooperation with regional Organizations like ECOWAS • Cooperation with regional Statistical Training Institutions to improve the Capacity Building • Capacity Building to strengthen the “National Strategies for the Development of Statistics”(NSDS) jointly with national, bilateral and international Partners • Large network of Alumni, Experts and international Partners 3/16/2018 Seite 66 Page

Statistical Capacity Building § Even if statistical capacity building in Sub-Saharan Africa has a long history, the impact on the quality of the national statistical system seems sometimes low § Improving the supply side of statisticians trained is not necessarily sufficient to improve the National Statistical System or the use of National Accounts in particular. § Statistical training should not focus 'heavily on training only instead of comprehensive capacity building and quality management in statistical systems … [to avoid] adverse effect[s] on sustainability. ' 3/16/2018 Seite 77 Page

Statistical Training in Africa § Applied statistics training is provided in Africa at several levels by several types of institutions: § Initial Training: Specialised Statistical Training Centres (some of them university institutes such as ISAE Makere University) – most regional but some national (linked to the NSI) sometimes in scientific collaboration with regional ones § In-house training or on-the-job training: organised in most of African NSIs in a more or less systematic or structured, permanent or ad-hoc way § Advanced short term training programmes: in different formats developed and provided by international or bi-lateral cooperation partners but also African STCs. 3/16/2018 Seite 88 Page

DP's Goal: Improving Evidence Based Policy Making § On-time delivery of economic analysis for respective users § Which institution is responsible for economic analysis? Central Bank? Ministry of Finance? Ministry of Economics? National Statistical Office? How is analysis linked with data collection? § Are international consultants involved in the production of NA? What is their contribution to training and sustainability of NA production? § Who should be trained in which field? 3/16/2018 Seite 99 Page

The decisions are not up to me. […] It’s the higher ranks who make decisions. […] I need more support than I have to bring about bigger changes. ” Why learning cannot be implemented § “Most […] training was found to result in individual participant learning, but only about half resulted in substantial changes to workplace behaviour or enhanced development capacity”. Unfortunately I could not apply my new knowledge in my practical works. It is not easy to persuade other people to behave and work differently. The positive aspect is that people speak about this issue. The negative aspect is there are no resources to carry out the job. 3/16/2018 Seite 10 Page 10

Training Success § Selection of participants: Producers and users of statistics, regional selection of participants to facilitate peer-learning processes and sharing of good practices § Reflection of NSDS and other national, regional and institutional frameworks § Training content targeted, orientation on practical key work functions § Addressing the organisational and institutional context, increasing commitment to training goals § Appropriate and professional didactic design with focus on active participation § Networking to follow-up with participants, experts and organisations 3/16/2018 Seite 11 Page 11

E-Learning in Statistical Capacity Building – GIZ's experience § Blended learning courses – combining e-learning with classroom trainings or workshops § Modular e-learning content adopted to target group needs § E-Learning case studies / work group exercises § Most classroom sessions organised in collaboration with partner institutions in the respective countries – NSIs & STCs § Courses are conceived in a way to allow final use by partner institutions § Design of courses allows multiplication through „train the trainers“ modules 3/16/2018 Seite 12 Page 12

Blended Learning Concept – System of National Accounts for users and producers in Sub-Saharan Africa SNA: 6 weeks GIZ Global. Campus E-Workload: 8 h/week About 30 participants from Statistical Offices, Ministries, Planning Institutions E-Learning Modules Case Studies E-Collaboration Synchronous Communication SNA 1 week Joint Classroom Workshop GIZ Workshop (regional) E-Assessment Alumni / Expert Networking on GIZ Global. Campus 3/16/2018 Seite 13 Page 13

Global. Campus 21 – GIZ E-Learning Platform 3/16/2018 Seite 14 Page 14

Sub-Groups for E-Collaboration 3/16/2018 Seite 15 Page 15

E-Learning Modules 3/16/2018 Seite 16 Page 16

E-Learning Modules 3/16/2018 Seite 17 Page 17

E-Learning Modules 3/16/2018 Seite 18 Page 18

E-Learning Modules 3/16/2018 Seite 19 Page 19

Synchronous Communication: Chat 3/16/2018 Seite 20 Page 20

E-Assessment 3/16/2018 Seite 21 Page 21

Joint Classroom Workshops 3/16/2018 Seite 22 Page 22

Conclusion § Blended Learning Concepts are useful to maintain a high quality standard of training without long absence from workplace § Costs for the development are high and require standardisation and duplication § Modularisation and additional elements as e-collaboration are necessary to maintain a target group oriented training § Plus: lower costs on demand side; fast delivery of up-to-date material, multilateral trainings, collaboration with experts of development partners and experts throughout the region, a modular curriculum, sharing of bestpractice examples, and, probably most important, a sustainable network of statisticians § Institutional commitment is a key factor for success for all trainings and in particular for e-learning tools § Since rapid and qualified communication during the training is a crucial factor, a skilled e-trainer is an essential for the success of the e-learning § Flexibility during a e-learning requires careful planning of the learning scenario and a clear definition of target group and learning objectives § Ideally, the training is combined with other methods of capacity building 3/16/2018 Seite 23 Page 23

3/16/2018 Seite 24 Page 24

Thank you for your attention! www. gc 21. inwent. org/statistics-portal 3/16/2018 Seite 25 Page 25