ESCAP is currently conducting technical R trainings that take participants through the inner workings of its LNOB platform, using the statistical R code that prepares, analyzes and produces evidence on 16 SDG indicators based on either Multiple Indicator Cluster Survey (MICS) or Demographic Health Surveys (DHS). In addition to replicating the results hosted in LNOB platform, participants learn how to operationalize the LNOB methodology on indicators other than those currently available on the platform and to carry out LNOB analysis, using other nationally representative surveys such as Labor Force Surveys (LFS) or Household Income and Expenditure Surveys (HIES).
The primary objective of this statistical training is to strengthen national capacities in building the evidence base to develop policies that reduce inequality of opportunity and accelerate the implementation of the Sustainable Development Goals, by making sure that those left behind are also included. At the end of the training, statisticians and technical specialists obtain their country-specific LNOB code with which they can map out inequalities in access to opportunities and prevalence of barriers for which they have data. They embark on a journey to identify furthest behind and furthest ahead and quantify the level of inequality at national and sub-national levels through the D-Index.
