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Training Introduced Methods for Collecting and Analyzing Child Poverty Data in Regional Context

Participants from Eastern Europe and Central Asia meet for introductory training on multidimensional child poverty at UNICEF Innocenti in Florence, Italy July 8-10, 2019.

(11 July 2019) How can we measure child poverty in the unique contexts of Eastern Europe and Central Asia?

UNICEF Innocenti held a training course to introduce multidimensional child poverty measurement to national stakeholders and UNICEF country office specialists from the Europe and Central Asia region. Participants were introduced to measurement of child poverty and completed exercises using national statistics to develop nationally contextually appropriate indicators for measuring child poverty in their countries.

The three-day training course provided national statistical office representatives important conceptual and technical guidance needed to understand differences between monetary and non-monetary child poverty measurement and between the main approaches to multidimensional measurement, including UNICEF’s Multiple Overlapping Deprivation Analysis (MODA) and Oxford University’s Multidimensional Poverty Index (MPI).  Training included lectures and group work explaining how MODA and the MPI work as well as the European Union Child Deprivation Index and exercises to help individuals use their own local survey data.

Fourteen participants from five different countries including Azerbaijan, Belarus, Bulgaria, Kyrgyzstan and Uzbekistan met from July 8-10, 2019 at UNICEF Innocenti in Florence, Italy.

UNICEF Innocenti’s  Yekaterina Chzhen, Social and Economic Policy Manager on Child Poverty, and Alessandro Carraro, a Social and Economic Policy Consultant, led the training. Enrique Delamonica, Senior Statistics Specialist in Poverty and Gender in UNICEF’s Data and Analytics team presented on child poverty, UNICEF’s position, policies and the way forward via Skype from UNICEF Headquarters in New York.

 

 

 

 

 

“The training was unique in that it was bilingual (English/Russian), with lecture slides in both languages and (consecutive) two-way interpretation by a technical expert. Several participants told me how much they’ve enjoyed hearing the same thing in two languages,” Chzhen said about the training.

“I’ve never seen anything like this with university students or at academic conferences… seeing all 14 participants fully engaged at all times,” Chzhen added. “Teaching a three-day course helped me organize everything in my mind too. It’s been a great way for me to cap off 6 years of child poverty research at UNICEF.”

“I hope participants will go back to their countries and start pushing towards integrating the traditional monetary poverty measurements with non-monetary poverty ones,” said Carraro. “And, in particular, I hope they will start looking at child poverty from a different perspective, putting, from now, more emphasis on the importance of using a child-centric approach to measure child poverty,” mentioning that the child-centric approach is better aligned with UNICEF’s “For every child” brand mission.

Maria Zlatareva-Pernishka, a Social Policy Specialist with UNICEF Bulgaria, added, “for me personally, this training was very timely as our country office is preparing to engage in the development of the strategic documents for the next EU programming period and to support and advise the government with the preparation and implementation of the future Child Guarantee.”

Uladzimir Valetka, Monitoring and Evaluation Specialist with UNICEF Belarus added that "the training represents a great example of [UNICEF] Innocenti’s preparedness to support transforming insights from data into action reacting very quickly to the countries’ demand. Belarus has expressed an idea of the training and now our Statistical Committee will be using this state of the art knowledge to develop an official methodology for measuring multidimensional child poverty to monitor SDG commitments. It’s amazing! To me it’s a solid illustration of UNICEF’s comparative advantage on the data front," he said.