Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty
AbstractWe develop an approach for making welfare comparisons between populations with multidimensional discrete well-being indicators observed at the micro level. The approach is rooted in the concept of multidimensional first order dominance. It assumes that, for each indicator, the levels can be ranked ordinally from worse to better; however, no assumptions are made about relative importance of any dimension nor about complementarity/substitutability relationships between dimensions. We also introduce an efficient algorithm for determining dominance and employ a bootstrap approach that permits cardinal rankings of populations. These approaches are applied to household survey data from Vietnam and Mozambique.
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Bibliographic InfoArticle provided by Elsevier in its journal World Development.
Volume (Year): 40 (2012)
Issue (Month): 11 ()
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ordinal; welfare; multi-dimensional poverty measurement; first order dominance; Mozambique; Vietnam;
Other versions of this item:
- Channing Arndt & Roberta Distante & M. Azhar Hussain & Lars Peter Østerdal & Pham Lan Huong & Maimuna Ibraimo, 2011. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," Discussion Papers 11-13, University of Copenhagen. Department of Economics.
- Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Osterdal, Lars Peter & Huong, Pham Lan, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators:A First Order Dominance Approach and Application to Child Poverty," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
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