Robust Multidimensional Poverty Comparisons

By Jean-Yves Duclos, D. Sahn, S. D. Younger. 2006

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Citations in the corpus

Rural poverty dynamics: development policy implications (2003, background): “This approach is appropriately contested within the social sciences, and there has been considerable advance in the use of multidimensional poverty measures (Bourguignon and Chakravarty 2002, Duclos et al. 2003).”
Income and Beyond: Multidimensional Poverty in Six Latin American Countries (2013, unknown): “…of social policy initiatives in Latin America are based on multidimensional indicators—for instance, for the identification of beneficiaries of the Progresa/Oportunidades conditional cash transfer program in Mexico and in the SISBEN targeting system in Colombia. approach (Duclos et al. 2006).”
Setting weights in multidimensional indices of well-being (2008, methodology): “The use of these statistical techniques is motivated by a concern for the so-called problem of (25)In recent social choice literature, the question of whose preferences or ideas about trade-offs should matter has been taken up under the label of the “indexing dilemma” –see Fleurbaey (2007). In his e”
On multidimensional indices of poverty (2011, background): “Unambiguous country rankings may be hard to justify, although still possible under certain conditions (Atkinson and Bourguignon, 1982; Duclos et al., 2006).”
Weights in Multidimensional Indices of Wellbeing: An Overview (2013, unknown): “(2004) for comparisons of three-dimensional well-being distributions and by Duclos et al. (2006) for multidimensional poverty comparisons.”
Understandings and misunderstandings of multidimensional poverty measurement (2011, background): “1 The literature is growing rapidly; some key papers in the axiomatic tradition include Anand and Sen [12], Brandolini and D’Alessio [21], Chakravarty et al. [24], Tsui [47], Atkinson [17], Bourguignon and Chakravarty [20], Deutsch and Silber [26], Duclos et al. [ 27 ], Chakravarty and D’Ambrosio [2”
Characterizing Weights in the Measurement of Multidimensional Poverty: An Application of Data-Driven Approaches to Cameroonian Data (2008, background): “Duclos et al.(2003, 2006) have shown that this sort of poverty comparison is robust to the choice of the poverty threshold and for all poverty measures.”
Multidimensional poverty and inequality (2014, unknown): “…For definitions of association increasing rearrangements based on the correlation coefficient we refer to Epstein and Tanny (1980), Atkinson and Bourguignon (1982), Boland and Proschan (1988) Dardanoni (1995), Tsui (1995, 1999, 2002), Bourguignon and Chakravarty (2003), and Duclos et al. (2006a).”
Mashup Indices of Development (2010, background): “Duclos et al. (2006) provide dominance tests for ―multidimensional poverty.”