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

Gaurav Datt

No 08-17, Monash Economics Working Papers from Monash University, Department of Economics

Abstract: Multidimensional poverty comparisons can be sensitive to the choice of welfare indicators, the weights assigned to the indicators, as well as the choice of the aggregate poverty measure. 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 alternative measures of multidimensional poverty. Using data from the Annual Poverty Indicators Survey for 2004-13, the paper finds evidence of a significant decline in multidimensional poverty that is robust to these alternatives, though the magnitude of the decline in, and especially the dimensional contributions to, aggregate multidimensional poverty are quite sensitive to the alternatives considered.

Keywords: multidimensional poverty; weighting; identification and aggregation; Philippines (search for similar items in EconPapers)
JEL-codes: I3 I32 N35 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2017-04
New Economics Papers: this item is included in nep-sea
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Citations: View citations in EconPapers (2)

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Working Paper: Multidimensional poverty in the Philippines, 2004-13: do choices for weighting, identification and aggregation matter ? (2017)
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