Both direct and indirect methods of child poverty computations remain contentious. More research and development of appropriate methods of child poverty measurements sensitive to the conditions in which children live, is needed. This article is an elaboration of a new intrinsic value approach for the computation of Child Living Conditions Scores (CLCS), and poverty in Uganda. Once CLCS is computed, appropriate poverty threshold can be chosen to delineate the poor children from the non-poor as demonstrated using the Uganda Demographic and Health Survey (UDHS) data for 2011. The results show that the intrinsic value method is not only a robust approach for the computation of CLCS and child poverty, but also a method which may be used in substitution for the Principle component methods of computing wealth index.
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Without the Commonwealth Scholarship, and funding from Queen’s University, Belfast, I wouldn’t have been in position to produce this work. It was through the support of the commonwealth Scholarship Commission and Queen’s University, which enabled me to pursue a Doctoral study which resulted into the idea developed in this work. I also thank Professor Mike Tomlinson of School of Sociology, Social Policy and Social Work, Queen’s University Belfast, for his guidance and support for this work.
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Misinde, C. “An Intrinsic characteristics and Value of Poverty Indicators”: a New Method for Deriving Child Living Condition Scores and Poverty, in Uganda. Child Ind Res 10, 141–170 (2017). https://doi.org/10.1007/s12187-016-9365-3