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Audio
Video (with guide)
Guide to the video
Introduction
00:45 Main sources for lecture
1:25 Importance of distributional issues in multidimensional poverty
3:19 Relevant properties of multidimensional poverty
4:30 Examples of MD poverty matrices: concordant and discordant pairs
6:47 Dimensional transfer
12:44 Example of inequality among the poor using deprivation count vector
15:28 Two relevant practical properties of M0
16:32 Impossibility result
19:17 First approach using M0 and another poverty measure
21:30 Second approach using analysis on inequality separately
23:06 Example of Madagascar and Rwanda
24:30 Other inequality measures that can be used
25:16 Use of union approach
33:20 Deprivations versus attainments
34:16 Example using attainment score to reflect inequality
37:50 Elimination of inequality measures
38: 56 Decomposition between groups
40:08 Policy relevant property: within-group mean independence
43:39 The use of the variance as an inequality measure
47:53 Inequality decomposition: within group and between group component
48:30 Applications: Inequality among the poor and inequality across population subgroups
50:24 Disparity in poverty across subgroup
51:07 Example using Yemen, India , Togo and Bangladesh
53:20 Summary and concluding remarks