00:18 At the World Bank,
00:19 tackling inequality is central to our shared prosperity agenda.
00:23 Today's events reflects our broader commitment
00:26 to evidence-based policy and cross-sectoral collaboration.
00:34 Does inequality matter for development?
00:37 How can it not,
00:38 right?
00:38 I mean,
00:39 if you look at the aspects of inequality,
00:41 you can talk about the inequality of opportunity,
00:44 of course,
00:44 of income,
00:45 of wealth,
00:46 and of power,
00:48 right?
00:48 It matters a lot.
00:49 It can sort of really
00:51 hurt development
00:52 a lot if it's too high or if it's unmanageable,
00:55 etc etc.
00:57 But then the real question is,
00:59 OK,
00:59 what do you do about it?
01:00 And is the cure
01:02 often worse than the disease?
01:04 Development is more than economic growth.
01:07 Development
01:08 in many countries is growth with poverty reduction
01:12 and as soon as we have said that
01:14 it is impossible to simply
01:17 ignore inequality because inequality is the
01:19 link between economic growth and the change
01:22 in uh in poverty.
01:27 There are these two systems
01:29 of inequality reproduction which are
01:31 interconnected.
01:32 The short cycle
01:33 is the life cycle.
01:35 OK.
01:35 That short cycle,
01:36 the life cycle,
01:37 OK,
01:37 is taking place,
01:38 of course,
01:39 embedded
01:40 in
01:41 history.
01:41 And the historical cycle is what we mean by the long cycle here.
01:44 If you're going to tackle inequality,
01:46 you can't just stay inside the normal box.
01:48 You have to confront the fact that assets and wealth.
01:53 Uh,
01:53 are crucial in people getting ahead.
01:59 The data from household surveys shows a decline
02:03 in income inequality,
02:04 OK.
02:05 Uh,
02:05 the decline and no change pattern was disproportionately present
02:09 in both the low and high inequality countries.
02:12 How much inequality?
02:13 I know you don't care about levels.
02:14 I do care about levels.
02:16 Is it
02:17 going up or down?
02:18 and what level of inequality?
02:20 I think it's a question still that remains,
02:23 uh.
02:24 An MDI can be written
02:26 as the weighted average of specific inequalities.
02:30 Income.
02:32 Health,
02:34 education,
02:34 if you wanna throw wealth,
02:35 wealth,
02:35 but if they're mixed up,
02:37 then it brings down the level
02:39 of inequality
02:40 multi-dimensionally.
02:45 We wanted
02:46 a measure of mobility that reward growth and punish decline,
02:51 uh,
02:52 and
02:53 we wanted.
02:55 It to be also progressing and growth to be coming from
03:00 the bottom of the distribution.
03:05 Among many predictors,
03:07 uh,
03:07 many possible predictors,
03:08 the quality of public education stands as one of the most important,
03:12 um,
03:14 uh,
03:14 correlates of upward income mobility.
03:17 Domestic revenues in,
03:18 um,
03:19 the global South,
03:20 remain really low,
03:22 and in terms of providing essential public goods,
03:25 it's very sketchy.
03:29 We're very used to using data and thinking of data as informing research,
03:33 but I want to talk a little bit about
03:35 looking at what the research tells us about what should be on
03:38 our data agenda because I think that's a really sort of important contribution
03:43 where the World Bank can
03:44 can help to play a role.
03:45 The first time the bank
03:46 has inequality explicitly as a statement.
03:50 In the mission,
03:51 uh,
03:52 in the new,
03:53 uh,
03:53 World Bank documents,
03:54 and in the corporate scorecard,
03:56 we have this indicator of the number of countries with high inequality.
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