Introductory training

ESCAP conducted five national trainings across Asia and the Pacific as a way to introduce the LNOB platform and the LNOB methodology to policymakers and development practitioners who are interested in identifying the furthest behind and measuring inequality of opportunity. These introductory trainings offered an overview of the mathematical theory behind Classification and Regression Trees (CART) methodology as well as the Dissimilarity Index, the two components of ESCAP LNOB methodology.
The trainings also offered interactive debates over the results from each target country including Mongolia, Philippines, Tuvalu, Tonga and Turkmenistan. ESCAP is ready and willing to organize more such trainings virtually or in-person across Asia and the Pacific, especially in the context of supporting member States in their preparation for Voluntary National Reviews. Below you will find the general training materials with an in depth, step-by-step review of the LNOB methodology.

An Introduction to the Leaving No One Behind (LNOB) Analysis

Classification and Regression Tree (CART) Theory

Welcome to our "Introduction to the Leaving No One Behind (LNOB) Analysis. Here you will find a slide by slide presentation taking you through the ESCAP LNOB Methodology that is used in this tool. A combination of images, video and text will help you understand the different figures and calculations that we use to create the tables in our LNOB Analysis.