Workshop on Effective Use of Administrative Data

Eca Delivered a Training for Trainers on the “Effective Use of Administrative Data in Agricultural Statistics” in Lusaka, Zambia from 19-23 June 2017.

The training was organized in partner­ship with the National Statistical Office of Zambia. The training of trainers was developed for the first time based on the guide­lines of the Global Office-Research Component. The training brought together participants mostly from universities and statistical training centers from the following coun­tries: South Africa, Nigeria, Ethiopia, Uganda, Namibia, The Gambia, Sudan, Kenya, South Sudan, Tanzania, Lib­ya, Ghana, Zimbabwe, Egypt, and Zambia. For country perspectives, Mr. Itani Mag­waba of Statistics South Africa and Mr. Din­giswayo Banda, Chief Economist in the Ministry of Agriculture (Planning Division), Zambia have presented their respective country experiences.

The training covered specific topics such as the importance of administrative data for agricultur­al & rural statistics, potential sources of adminis­trative data, examples of administrative sources (participating countries experiences, challenges and limitations of administrative data, roles of administrative data in sampling and estima­tion, quality of ad and the way forward, scien­tific approaches for adjusting or improving ad before use, methodology for obtaining the data, decentralization and levels of information man­agement calculations, efficient use of ad, survey design and mod­el — assisted weighting methods, combining multiple data sources, analysis and inference with multi­ple data sources, as well as meth­odological and technical tools for data integration. The training also benefited from a filed visit to Zambia’s CSO to gain from the practical experiences of Zambia. The event was officially opened by the remarks of Mr. John Kalumbi, Director General of Central Statisti­cal Office of Zambia and introductory remarks by Mr. Said Adejumobi – Director ECA-Sub-Re­gional Office of South Africa. The trainings benefited from detailed country experiences on the effective use of administrative data in agricultural statistics.