Is Global Inequality Really Falling?
Martin Ravallion
Georgetown University
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Presentation at session on Global Inequality, WIDER Conference 2018
Is Global Inequality Really Falling? Martin Ravallion Georgetown - - PowerPoint PPT Presentation
Presentation at session on Global Inequality, WIDER Conference 2018 Is Global Inequality Really Falling? Martin Ravallion Georgetown University 1 Defining g lobal inequality The prevailing approach pools all incomes in the world and
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Presentation at session on Global Inequality, WIDER Conference 2018
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– Driven mainly by divergent growth processes: today’s rich world takes off from the early C19th (though some late starters). =>
– Driven by convergent growth, esp., high growth in Asia. =>
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0,2 0,4 0,6 0,8 1 1820 1850 1870 1890 1910 1929 1950 1960 1970 1980 1992 Mean log deviation 0.42 0.83 0.69 0.37 0.36 0.33 0.05 0.33 0.50 Within-country inequality Betw een-country inequality Global inequality
Further reading: François Bourguignon and Christian Morrisson, 2002, “Inequality Among World Citizens: 1820-1992,” American Economic Review 92(4): 727-744.
Source: Bourguignon, Globalization of Inequality, 2016.
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0.0 0.2 0.4 0.6 0.8 1.0
1988 1992 1996 2000 2004 2008 2012 Total global inequality Inequality between countries Inequality within countries Theil index
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.0 .1 .2 .3 .4 .5 .6 .7 1980 1984 1988 1992 1996 2000 2004 2008 2012
Total Between- country Inequality (MLD)
Source: Own calculations
– Neoclassical growth and/or policy convergence?
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.0 .1 .2 .3 .4 .5 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
Gini index of consumption inequality Trend increase of 0.055 per 10 years If this trend continues then Indonesia will have the same (post-tax and transfer) inequality as Brazil in about 10 years time.
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– Rawls (1999): people in rich countries only have a moral obligation to help those in poor countries when the latter are not well governed. – Yes, nations exist and their governments address inequality within their borders (and beyond). – The institutional fact of nation states and the limitations of global institutions constrain what global redistribution can be achieved.
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10 20 30 40 50 60 70 80 90 100 10 20 30 40 50 60 70 80 90 100
Cumulative share of population ranked by income (%) 1988 2008 Cumulative share of global income (%)
Falling inequality around middle Rising inequality in upper two deciles
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) 1 /( 1
1
) ( 1
−
−
− i i i
y y w
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– Which has more inequality in your view?
– Roughly half the students asked say that State B has higher inequality. Yet (relative) inequality measures (such as Gini) say that there is no
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Distribution Which has higher inequality? A B A B Neither N (1,2,3) (2,4,6) Absolutist Relativist
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4% 56% 40% 388 (1,2,3) (2,3,4) Relativist Absolutist 44% 5% 51% 385 (1,2,3) (3,1,2) A and R 3% 4% 93%
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(1,2,3) (1,2,4) A and R 3% 96% 1%
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(2,4,6) (4,8,12) Absolutist Relativist 4% 57% 38%
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(2,4,6) (4,6,8) Relativist Absolutist 46% 9% 46%
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(2,4,6) (3,4,5) A and R 91% 2% 7%
388
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50 75 100 125 150 175 200 1970 1975 1980 1985 1990 1995 2000 Absolute Gini index Gini index Mean logarithmic deviation 'Source: Atkinson and Brandolini (2004).
Source: Atkinson, Anthony and Andrea Brandolini. 2004. “Global Income Inequality: Absolute, Relative or Intermediate?”, Paper presented at the 28th General Conference of the International Association for Research on Income and Wealth.
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10 20 30 40 50 60 70 10 20 30 40 50 60 70 80 90 100
Percentile of the global income distribution Absolute real gain 1988-2008 ($/person/day)
Source: Ravallion, “Globalization and Inequality,” Journal of Econ. Lit., June 2018
10 20 30 40 50 60 70 80 10 20 30 40 50 60 70 80 90 100
Percentile of the global income distribution Real income change 1988-2008 (in percent)
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2 4 6 8 10 12 10 20 30 40 50 60 70 80 90 100 Percentile Absolute gain 1981-2011 ($ per person per day)
20 40 60 80 100 2 4 6 8 10 12 14 16 18 20 Percent of the population Consumption or income per person ($ per day, 2005 prices) 1981 2011 Difference (2011-1981)
Rising absolute inequality Near zero gain at bottom
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1 2 3 4 5 6 1980 1984 1988 1992 1996 2000 2004 2008 2012
Overall mean for developing world Consumption floor: expected level of lowest consumption
Mean consumption ($ per person per day)
$0.67 on average
No sign that the new Millennium raised the floor
(about $1.00 in 2011 PPP) Source: Ravallion, “Are Poorest Left Behind?” J. Econ. Growth, 2016.
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1 2 3 4 5 6 1980 1984 1988 1992 1996 2000 2004 2008 2012 2016
Mean consumption ($ per person per day; 2011 PPP)
Overall mean for Indonesia Consumption floor
Elasticity=0.3
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– We would ideally measure real income over a longer time period than that for which current income is measured in surveys. – Access to public non-market goods is typically excluded.
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– Luttmer, 2005; Graham and Felton, 2006; Knight et al. 2009; Layard et al., 2010; Ravallion and Lokshin, 2010; Clark et al., 2017.
– Di Tella and MacCulloch, 2010; Diener et al., 2010; Diener-Tay, 2015.
– Helliwell, 2008; Helliwell et al., 2010; Diener et al., 2013.
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We can treat 𝑧𝑗𝑘𝑢 as a continuous random variable, and also presume that its values have been normalized for prevailing prices.
global mean with a global population size of 𝑜𝑢.
adjusted real income 𝑧𝑗𝑘𝑢
∗ defined by:
ln𝑧𝑗𝑘𝑢
∗
≡ ln𝑧𝑗𝑘𝑢 + 𝛽ln𝑛𝑘𝑢
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– Monotonicity in Distance axiom says that, when comparing two distributions that differ in one person’s income, the greater the distance from equality, the higher the inequality.
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∗ over all i, j is:
∗/𝑧𝑗𝑘𝑢 ∗ )/𝑜𝑢
𝑘𝑢ln(𝑛𝑢 ∗/𝑛𝑘𝑢 ∗ )
𝑘𝑢𝑀(𝛽)𝑘𝑢
∗ /𝑧𝑗𝑘𝑢 ∗ )/𝑜𝑘 and 𝑡 𝑘𝑢 = 𝑜𝑘𝑢/𝑜𝑢 is the
– This is “nationalistic”: no weight on inequality between countries.
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𝛽). So under the scale-independence axiom, the within-
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1993 2012 Change in MLD (2012- 1993) MLD ( ) Between country share MLD ( ) Between country share Using observed incomes: 1.028 0.761
Of which: between- country component: 0.777 0.479
within- country component: 0.251 0.282 0.031
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1993 2012 Change in MLD (2012- 1993) MLD ( ) Between country share MLD ( ) Between country share = With an intrinsic value on national income (MLD for various ):
0.251 0.00 0.282 0.00 0.031
0.278 0.10 0.300 0.06 0.021
0.366 0.32 0.355 0.20
0.522 0.52 0.449 0.37
0.745 0.66 0.585 0.52
1.028 0.76 0.761 0.63
0.2 1.361 0.82 0.975 0.71
0.4 1.731 0.86 1.221 0.77
0.6 2.129 0.88 1.495 0.81
0.8 2.547 0.90 1.793 0.84
1 2.978 0.92 2.110 0.87
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0.0 0.5 1.0 1.5 2.0 2.5 3.0
0.0 0.2 0.4 0.6 0.8 1.0 1.2
Alpha 1993 2012
Global inequality (MLD)
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