This advocacy briefing paper presents information about Handicap International’s ScoPeO tool which is a data collection tool to help measure outcomes of development initiatives on the quality of life (QOL) of beneficiaries who have accessed our projects and those of our partners. This brief highlights the need to measure quality of life and provides an overview of how ScoPeO works along with a case study from Rwanda. It outlines how humanitarian and development actors can measure impact and suggests ways to measure progress
This paper proposes a nonparametric matching approach to estimation of implicit costs based on the compensating variation (CV) principle. The paper aims to introduce the matching approach, compare its properties with those of the conventional indirect parametric approach, and demonstrate its application in an important policy area. The authors apply the method to estimate the additional personal costs experienced by disabled older people in Great Britain, finding that those costs are substantial, averaging in the range £48-61 a week, compared with the mean level of state disability benefit (£28) or total public support (£47) received. Estimated costs rise strongly with the severity of disability. The authors compare the nonparametric approach with the standard parametric method, finding that the latter tends to generate large overestimates unless conditions are ideal, and recommend the nonparametric approach