Estimating poverty in the absence of recent household consumption data: imputed elasticity approach

Abstract

This brief proposes an innovative estimation approach to generate up-to-date poverty metrics using the latest household consumption data, bypassing the cost and logistical barriers of frequent surveys. By providing current, reliable insights into poverty and inequality, this method enables dynamic policy adjustments, enhances program effectiveness, and aligns development strategies with real-time economic shifts. It offers a practical solution to strengthen evidence-based decision-making, ensuring progress toward sustainable development goals amid resource constraints.