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Multidimensional poverty in the Philippines, 2004-13 : do choices for weighting, identification and aggregation matter ?

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  • Datt,Gaurav

Abstract

Multidimensional poverty comparisons can be sensitive to the choice of welfare indicators, the weights assigned to the indicators, as well as the aggregate poverty measure used. This paper examines the robustness of trends in multidimensional poverty in the Philippines to these choices by presenting estimates for three alternative weighting schemes and three measures of multidimensional poverty. The weighting schemes range from uniform weights similar to those used in the global multidimensional poverty indexes produced by the United Nations Development Programme, to weights based on inverse incidence of different deprivations and those derived from the estimated relationship of deprivations to a survey-based measure of subjective welfare. The multidimensional poverty measures similarly range from the"dual cut-off"indexes analogous to the United Nations Development Programme's global Multidimensional Poverty Index, to ?union-based? indexes that count all deprivations, to indexes that are also responsive to the distribution of deprivations. Using data for 2004-13, the paper finds evidence of a significant decline in multidimensional poverty that is robust to these alternatives, although the magnitude of the decline in, and especially the dimensional contributions to, aggregate multidimensional poverty are quite sensitive to the alternatives considered.

Suggested Citation

  • Datt,Gaurav, 2017. "Multidimensional poverty in the Philippines, 2004-13 : do choices for weighting, identification and aggregation matter ?," Policy Research Working Paper Series 8099, The World Bank.
    • Handle: RePEc:wbk:wbrwps:8099
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    Cited by:

    1. Najam, Zaira, 2020. "The Sensitivity of Poverty Trends to Dimensionality and Distribution Sensitivity in Poverty Measures - District Level Analysis for Pakistan," MPRA Paper 102383, University Library of Munich, Germany.
    2. Zaira Najam, 2021. "The sensitivity of poverty trends to dimensionality and distribution sensitivity in poverty measures—District level analysis for Pakistan," Poverty & Public Policy, John Wiley & Sons, vol. 13(4), pages 368-411, December.

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    More about this item

    Keywords

    Poverty Lines; Poverty Diagnostics; Poverty Monitoring&Analysis; Poverty Impact Evaluation; Small Area Estimation Poverty Mapping; Poverty Assessment;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East

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