Индексы многомерной бедности для детей на основе обследований домохозяйств: уроки и дальнейшие действия 1

Аннотация

This paper considers approaches used to measure child multi- dimensional poverty (MDP) in the developing world: the Alkire-Foster method and the ‘CC’ method as exemplified by UNICEF poverty indices based on methodologies by Gordon et al and De Neubourg et al. Discussion begins with survey micro-data extensively used for these indices, the Multiple Indicator Cluster Surveys (MICS) and the Demographic and Health Surveys (DHS), and the resulting data constraints on indices for measurement and coverage of MDP for children. Two important constraints are identified as affecting measurement of MDP across both indices: a) the inclusion of both household level and individual level indicators, b) the age- specificity of individual indicators for children and representation in survey data. Analysis considers the underlying differences between the two methodologies in two stages. First, using Monte Carlo simulations of hypothetical data we consider the differences in measurement properties that arise from axiomatic construction of indices, and the effects that ‘household and individual’ mixed level data and ‘age specificity’ have on such axiomatic properties. Second, we use harmonized DHS data from three countries to examine how those axiomatic differences in measurement properties affect MDP prevalence within and across countries, and the ability of indices to monitor changes in MDP prevalence. The paper concludes by considering the findings from the analysis and how they could be taken forward in the future collection and analysis of survey data for estimating MDP for children in Sustainable Development Goals targets and indicators, with particular reference to the MICS survey programme. Keywords: Child poverty; MICS; DHS 1 . № 6, 2017 www.iqtisodiyot.uz 1 “Иқтисодиёт ва инновацион технологиялар” илмий электрон журнали. № 6, ноябрь-декабрь, 2017 йил