Presentation will cover the importance of multidimensional approach and specifically child deprivations and illustrate the experience of Kyrgyzstan, Kazakhstan, Uzbekistan and Belarus in development of multidimensional child poverty indices.
Two practical applications combining household survey and geospatial data are presented. First, administrative level one data from household surveys are combined with geospatial data to project child poverty headcount rates at administrative level two.
