Global Perspectives on Income Inequality: Challenges and Policy Recommendations

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In a public lecture at the University of Malaya, Martin Ravallion discussed the rising global inequality trends and potential policy responses. He highlighted shifts in global relative inequality since 1990 and variations in inequality levels within countries. Despite rising inequality in some nations, there has been a decline in absolute poverty. The presentation also noted the importance of understanding both received wisdom and dissenting views on income inequality for crafting effective policies.


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  1. Public Lecture, Ungku Aziz Center for Development Studies, University of Malaya, January 29 2019 Income Inequality: Challenges for Measurement and Policy Martin Ravallion 1

  2. Inequality is getting much attention globally Part A: How are we doing? Received wisdom + dissenting views Global perspective + Malaysia Part B: How can we do better? Objectives and constraints; policy options Recommendations for thinking about better policies. 2

  3. Part A: How are we doing? First, the received wisdom 3

  4. A (super) short history of global inequality Rising global inequality from 1820 to about 1990. Driven mainly by divergent growth processes: today s rich world takes off from the early C19th (though some late starters). The pattern changed dramatically toward the end of the C20th. Falling global relative inequality in the new Millennium. Driven by convergent growth processes, esp., high growth in Asia. 4

  5. Global relative inequality since 1990 1.0 Total global inequality 0.8 Inequality between countries 0.6 Theil index 0.4 Inequality within countries 0.2 0.0 1988 1992 1996 2000 2004 2008 2012 Source: Francois Bourguignon, Globalization and Inequality. Princeton University Press, 2016 5

  6. Rising inequality within many countries, but not all Average inequality within countries has edged upwards since 2000. Famous examples of US, China (though signs of stabilization) and India. Also some newcomers; e.g., Indonesia But also falling inequality in some countries (Brazil, Malaysia). Signs of (slow) inequality convergence: inequality tends to rise when low, fall when high. All this assumes anonymity. Rising inequality based on cross- sectional surveys is consistent with convergent income changes in longitudinal data. Indeed, often observed. 6

  7. Yet falling absolute poverty The most common approach to poverty measurement sets a line with constant real value over time and space Falling % (and number of) poor in developing world as a whole and many countries, including Malaysia. .6 60 Malaysia (official poverty measures) Headcount index ("poverty rate") in % Developing world (World Bank) Headcount index of poverty ($1.90) .5 50 .4 40 .3 30 .2 20 .1 10 .0 1980 1984 1988 1992 1996 2000 2004 2008 2012 2016 0 1970 1980 1990 2000 2010 2020 7

  8. Globally, economic growth typically comes with lower absolute poverty rates .3 .2 (annualized change in log H) Growth rate in poverty .1 .0 -.1 Slope = -2.2 (s.e.=0.27) -.2 -.3 -.4 -.10 -.08 -.06 -.04 -.02 .00 .02 .04 .06 .08 .10 .12 Growth rate in mean Source: Martin Ravallion, The Economics of Poverty: History, Measurement, Policy. Oxford University Press, 2016 8

  9. Malaysia 9

  10. Growth incidence curve for Malaysia, 1984-2016 Growth rate of household income per capita 4.0 3.5 Annualized over 1984-2016 3.0 Median Mean 2.5 2.0 1.5 Growth incidence curve 1.0 0.5 0.0 0 10 20 30 40 50 60 70 80 90 100 Percentile of income per capita Source: Martin Ravallion, Ethnic Inequality and Poverty in Malaysia, Working Paper, 2019. 10

  11. Malaysia: poverty rates by ethnicity 70 National Bumiputera Chinese Indian 60 50 Poverty rate (%) 40 30 20 10 0 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 Source: Martin Ravallion, Ethnic Inequality and Poverty in Malaysia, Working Paper, 2019. 11

  12. Malaysia: Long-run decline in inequality .6 Gini index of household income inequality .5 .4 .3 .2 .1 .0 1970 1980 1990 2000 2010 2020 Source: Martin Ravallion, Ethnic Inequality and Poverty in Malaysia, Working Paper, 2019. 12

  13. Ethnic convergence 1.6 Ratio of group mean to national mean 1.4 Chinese 1.2 Indian 1.0 Bumiputera 0.8 0.6 0.4 1972 1976 1980 1984 1988 1992 1996 2000 2004 2008 2012 2016 Source: Martin Ravallion, Ethnic Inequality and Poverty in Malaysia, Working Paper, 2019. 13

  14. Falling inequality within ethnic groups .60 National Bumiputera Chinese Indian Gini index for household incomes .56 National .52 Chinese .48 B'putera Indian .44 .40 .36 .32 1960 1970 1980 1990 2000 2010 2020 Source: Martin Ravallion, Ethnic Inequality and Poverty in Malaysia, Working Paper, 2019. 14

  15. Bulk of the fall in absolute poverty is due to growth, though falling inequality helped Falling inequality has meant that economic growth has had a larger impact on absolute poverty. Elasticity of poverty rate to mean of -3.6. This would have only need -2.2 without the fall in overall inequality. Elasticity of poverty rate to Gini index (holding mean constant) was 9! Decomposition of change in log poverty rate (1984-2015): 75% isdue to rising mean income. 15

  16. The received wisdom is out-of-step with some popular thinking 16

  17. Three things are missing from the way economists think about inequality 1. Absolute inequality matters 2. The poorest matter 3. Relative income matters 17

  18. 1. Wake up call to economists: Many people care about absolute inequality, and they care about the extremes 18

  19. Absolute versus relative inequality Relative inequality is measured using the ratios of incomes relative to overall mean. Absolute inequality is about the absolute differences the gap between rich and poor. Absolute inequality matters more to many people. Which is more unequal? State A: (1, 2, 3) State B: (2, 4, 6) Over half the students (n=450) say State B has higher inequality. Similarly for my Twitter survey (n=250). Yet most (relative) inequality measures (such as Gini index) say that there is no difference. 19

  20. Debates on inequality are often debates between absolutists and relativists Perceptions on the ground often differ to the numbers quoted by economists and statisticians! Serge Kolm and the May 68 ers : Grenelle agreement gave same relative gain (13%) to all. Many felt this was inequitable. At local level in developing world, absolutist NGO see rising inequality but relativist economist sees constant or even falling inequality. Neither is wrong: Just different axioms of inequality measurement (scale-invariance vs translation invariance). 20

  21. Falling relative inequality but rising absolute inequality globally Two Gini indices 1988 2008 Income gaps are normalized by the current mean Relative Gini (scale invariance) 0.72 0.71 Income gaps are normalized by a fixed mean Absolute Gini (translation invariance) 0.72 0.90 Source: Martin Ravallion, Globalization and Inequality, Journal of Economic Literature, 2018. 21

  22. Malaysia: Falling relative inequality, but rising absolute inequality Gini index of household income inequality 2.4 Absolute Gini 2.0 1.6 1.2 0.8 0.4 Relative Gini 0.0 1968 1972 1976 1980 1984 1988 1992 1996 2000 2004 2008 2012 2016 2020 Source: Martin Ravallion, Ethnic Inequality and Poverty in Malaysia, Working Paper, 2019. 22

  23. 1.6 Ratio of group mean to national mean Malaysia: Ethnic convergence is relative, not absolute 1.4 Chinese 1.2 Indian 1.0 Bumiputera 0.8 0.6 0.4 1972 1976 1980 1984 1988 1992 1996 2000 2004 2008 2012 2016 Absolute gap in household income (2010 prices) 2,400 Chinese - Bumiputera 2,000 1,600 Chinese - Indian 1,200 Indian - Bumiputera 800 400 0 1960 1970 1980 1990 2000 2010 2020 23

  24. Rising inequality in growing economies? Relative inequality (Kolm s rightist Gini index) Absolute inequality (Kolm s leftist Gini index) (annualized difference in log absolute Gini index) (annualized difference in log relative Gini index) r=0.90 .06 .10 Growth in relative inequality Growth in absolute inequality .04 .05 .02 .00 r=0.18 .00 -.05 -.02 -.10 -.04 -.06 -.15 -.10 -.08 -.06 -.04 -.02 .00 .02 .04 .06 .08 .10 .12 -.10 -.08 -.06 -.04 -.02 .00 .02 .04 .06 .08 .10 .12 Growth rate in the mean (annualized difference in logs) Growth rate in the mean (annualized difference in logs) Source: Martin Ravallion, The Economics of Poverty: History, Measurement, Policy. Oxford University Press, 2016 24

  25. The dilemma for absolutists! The tendency for absolute inequality to rise with growth points to a trade-off between reducing absolute inequality and reducing poverty. Those who see inequality as absolute, and give high priority to reducing it, may well find themselves living in an absolutely poorer world. Greater clarity is needed on what trade-offs one is willing to accept between reducing absolute inequality and reducing absolute poverty. 25

  26. Nor is the transfer principle universally accepted Pigou-Dalton transfer principle: mean-preserving transfers from rich to poor reduce inequality This seems very sensible. However, a sizeable minority of my students and Twitter respondents think that (2, 5, 5, 10) is more unequal than (2, 4, 6, 10). Yet almost all think that (2, 4, 6) is more unequal than (3, 4, 5). Why? People look at the high and low ends of the distribution. How far are the extremes from the middle? 26

  27. 2. An important aspect of inequality: Are the poorest left behind? 27

  28. Conflicting views The poorest of the world are being left behind. We need to reach out and lift them into our lifeboat. U.N. Secretary- General Ban Ki-moon, 2011 Poverty is not yet defeated. Far too many are being left behind. Guy Ryder, ILO Yet economists appear to tell a very different story. Adages such as a rising tide lifts all boats or claims that growth is good for the poor or that there has been a breakthrough from the bottom How can we understand such different claims? 28

  29. Counting poor people may miss what is happening to the poorest Cumulative % of population Cumulative % of population Rising floor Measure of welfare Measure of welfare Poverty line Poverty line Floor stays put Poorest left behind Same reduction in the incidence of poverty but without leaving the poorest behind 29

  30. Yes, the poorest have been left behind! Fewer people living near the floor, but little change in the floor Absolute gain 1981-2011 ($ per person per day) 100 12 1981 80 Percent of the population 60 2011 10 40 20 8 0 -20 Difference (2011-1981) 6 -40 0 2 4 6 8 10 12 14 16 18 20 Consumption or income per person ($ per day, 2005 prices) 4 2 Near zero gain at bottom 0 0 10 20 30 40 50 60 70 80 90 100 Percentile Source: Martin Ravallion, Are the World s Poorest Being Left Behind? Journal of Economic Growth, 2016 30

  31. ? Globally: Branko s Elephant or Martin s serpent? 70 80 Absolute real gain 1988-2008 ($/person/day) Real income change 1988-2008 (in percent) 70 60 60 50 50 40 30 40 20 10 30 0 0 10 20 30 40 50 60 70 80 90 100 Percentile of the global income distribution 20 10 0 0 10 20 30 40 50 60 70 80 90 100 Percentile of the global income distribution Source: Martin Ravallion, Globalization and Inequality, Journal of Economic Literature, 2018. ( Branko selephant refers to a graph in Branko Milanovic, Global Inequality, Harvard, 2016) 31

  32. Malaysias absolute growth incidence curve 2.0 $ per day per person per year 1.6 Absolute income gain 1.2 0.8 0.4 0.0 0 10 20 30 40 50 60 70 80 90 100 Percentile of household income per capita 32

  33. Much less progress in raising the consumption floor globally Mean consumption in $ per person per day Overall mean 9 8 7 6 5 No sign that the new Millennium raised the floor 4 3 2 (about $1.00 in 2011 PPP) Floor 1 0 1980 1984 1988 1992 1996 2000 2004 2008 2012 2016 Source: Update to Ravallion, Are Poorest Left Behind? J. Econ. Growth, 2016. 33

  34. Malaysia has made somewhat more progress in raising the floor Mean or floor ($ per person per day; 2011 PPP) 30 $27.95 Overall mean household income per capita 25 20 15 $12.45 10 Floor(based on weighted mean income of the poor) 5 $3.00 $2.30 0 1984 1988 1992 1996 2000 2004 2008 2012 2016 Note: Poverty line = $4.00 at 2011 PPP (20% poverty rate in 1984) 34

  35. 3. Relative income matters to perceptions of poverty 35

  36. Ungku Aziz on relative poverty Royal Professor Ungku Aziz is famous for his Sarong index (# sarongs per persons over 1 year) This is presumably absolute. But Aziz also recognized that the idea of poverty is relative. Aziz s thought experiment: Imagine people living on a remote tropical island. Adequate food and shelter. No inequality. No sense of poverty. The problem would begin when someone from the island visited Singapore or Sydney and then became aware of what was lacking in the level of living of the island people .The main point here is that poverty is a relative notion based on material inequality. (Aziz, p. 1375) Ungku Aziz, 1964, Poverty and Rural Development in Malaysia, Kajian Ekonomi Malaysia, 1(1):75-105. Reprinted in Ungku Aziz Collected Papers, Vol. 3, Kuala Lumpur 2017. 36

  37. Poverty is absolute in the space of welfare Poverty measures that use a constant real line do not take account of the concerns people face about relative deprivation and social exclusion. These are specific to place and time. An overriding principle: poverty is absolute in the space of welfare: an absolute approach in the space of capabilities translates into a relative approach in the space of commodities (Amartya Sen, 1983). Clearly an absolute measure is not welfare consistent if people care about relative income (or it => capabilities). But (as we will see) strongly relative lines are also problematic. 37

  38. Relative income matters! Two ways relative income matters: 1. Relative deprivation: a person s well-being depends on both own-income and income relative to social comparators. 2. Costs of social inclusion rise with average income. Famously, Adam Smith pointed to the social-inclusion role of a linen shirt in eighteenth century Europe: ..a creditable day-labourer would be ashamed to appear in public without a linen shirt, the want of which would be supposed to denote that disgraceful degree of poverty which, it is presumed, nobody can well fall into without extreme bad conduct. Anthropologists have often noted the social roles played by festivals, celebrations, communal feasts, clothing. 38

  39. Weakly vs. strongly relative lines Poverty line Weakly relative Strongly relative Absolute (0,0) Mean income Social inclusion cost for poorest; e.g., Adam Smith s linen shirt, which costs just as much for the poorest. 39

  40. The key issue in measuring relative poverty: the elasticity of the poverty line A strongly relative line has an elasticity of unity (one); if the mean increase by 10% say then the poverty line increases by 10%. If all incomes grow at the same rate then poverty measure is unchanged. By contrast, a weakly relative line has an elasticity less than unity. The ratio of the poverty line to the mean falls as the mean rises. Naturally then, relative poverty is less responsive to overall economic growth. 40

  41. Growth is a less important proximate cause of uneven progress against relative poverty .5 .4 (annualized difference in log H) .3 Growth rate in poverty .2 .1 .0 Relative poverty (slope=-0.43; se=0.05) -.1 -.2 Absolute poverty (slope=-2.25; se=0.27) -.3 -.4 -.10 -.08 -.06 -.04 -.02 .00 .02 .04 .06 .08 .10 .12 Growth rate in mean Elasticity of absolute poverty to growth in mean = -2.2. Elasticity of (weakly) relative poverty to mean = -0.4. 41

  42. Is Malaysias official poverty line credible? Fixed in real terms over 40 years, despite substantial progress in raising average living standards. Frequent claims in the media that the poverty line is too low by today s standards. 42

  43. Malaysias official poverty line is lower than expected given current mean income Malaysia s poverty line made sense in the 1970s. But it is well below international standards today. Expected line of about $12 rather than $4.* 24 Poverty line ($ per person per day; 2011 PPP) Slovenia 20 16 Lebanon Lithuania Czech Hungary 12 Uruguay Slovak Rep. Poland Belarus Estonia B&H GuHonduras Venezuela Az Fiji Costa Rica Latvia Mont. 8 Panama ES Paraguay Colombia Sb Iraq Ym Egypt Brazil Kyrgyz SL OMalaysia Chile 4 Haiti Benin CAR Ecuador Turkey Argentina ($4, 3.33) Sn. Bhutan South Africa Botswana Namibia China Liberia DRC India CI Madagascar Rwanda Uganda 0 -0.4 0.0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.2 3.6 Log mean ($ per person per day; 2011 PPP) Source: Ravallion, Martin, and Shaohua Chen, 2018, Welfare-Consistent Global Poverty Measures, NBER Working Paper 23739. 43

  44. Poverty line Illustrative example for Malaysia Mean Weakly relative line is more in line with the international experience in countries with similar average income. Slope = 0.33; Intercept =$2.50 ( hard core poverty line ). Intercept Slope Line in 1984 Line in 2015 Overall elasticity Absolute $4.00 0 $4.00 $4.00 0 Weakly relative $2.50 0.33 (1/3) $5.61 $11.82 0.62 44

  45. Absolute and (weakly) relative poverty in Malaysia 50 Poverty rate (% of population) Weakly relative poverty (Intercept=$2.50; slope=1/3) 40 30 20 Absolute poverty ($4 per person per day) 10 0 1982 1986 1990 1994 1998 2002 2006 2010 2014 Source: Author's calculations using stipulated poverty line and PovcalNet

  46. Warning against strongly relative lines Strongly relative shows falling poverty during global financial crisis 2008-9 Poverty rate (% of population) 40 30 Strongly relative Weakly relative 20 10 0 1984 1988 1992 1996 2000 2004 2008 2012 2016 Weakly relative: $2.50 + one third of current mean Strongly relative: 50% of current mean 46

  47. Implications of switching to a relative poverty measure in Malaysia Using the absolute poverty measure 25% of the reduction in poverty has been due to falling inequality. Switching to the (weakly) relative poverty measure, 43% is attributed to the reduction in inequality. (100% for the strongly-relative measure.) 47

  48. Toward better public data for studying poverty and inequality in Malaysia Over the last 25 years the govt. stats offices of most developing countries have implemented protocols for public access to complete micro data from the main national household surveys. Malaysia is an exception. This is constraining economic and social research on Malaysia. Many applications, including to policy, require access to the complete micro data. This also enhances the credibility of the data. Interaction with users is an important channel for improving the surveys in the future. Public data access should be a high priority going forward. 48

  49. Part B: How can we do better? 49

  50. Two challenges ahead Motivational challenge: Should we care about inequality and relative poverty as well as absolute poverty? The intrinsic (ethical) and instrumental arguments for why we need to also worry about inequalities. Policy challenge: How might we have greater success against inequality? Poor performance of current policies esp., in developing world; objectives and constraints on better policies; policy options. 50

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