The Haves and Have Nots
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1 Global Policy public lecture The Haves and Have Nots Branko Milanovic Lead economist, World Bank's research division Visiting fellow, All Souls College, Oxford, Professor Danny Quah Chair, LSE
2 The haves and the have-nots: A short and idiosyncratic history of global inequality Branko Milanovic Winter
3 The book s epigraph To determine the laws which regulate this distribution [into wages, profits and rent], is the principal problem in Political Economy. David Ricardo (1817), Principles of Political Economy (Preface)..of the tendencies that are harmful to sound economics, the most seductive, and the most poisonous, is to focus on questions of distribution. Robert E. Lucas (2004), The Industrial revolution: past and future
4 0. Overview of the present and past of global inequality
5 Gini coefficient Inequality The mother of all inequality disputes Concept 2 Concept 1 Divergence begins China moves in Concept 3 Divergence ends year With new PPPs Graph in interyd\dofiles\defines.do
6 BRICs and the US in percentiles (year 2002; new PPPs) percentile of world income distribution Brazil USA Russia India country percentile Using world2002_centile.dta and michele_graph.do
7 A non-marxistworld Over the long run, decreasing importance of within-country inequalities despite some reversal in the last quarter century Increasing importance of between-country inequalities Global division between countries more than between classes
8 Composition of global inequality changed: from being mostly due to class (within-national), today it is mostly due to location (where people live; between-national) Based on Bourguignon-Morrisson (2002) and Milanovic (2005) From thepast.xls
9 1. Vignettes
10 1A. Marriage and Money
11 Inequality 2 centuries ago & now: England Elizabeth s dilemma (from Pride and Prejudice) Income in 1810 ( pa) Approx. position in 1810 income distribution Mr. Darcy 10,000 Top 0.1% Income in 2004 ( pc pa) 400,000 Elizabeth s family Elizabeth alone Gain 100 to /7~430 Top 1% 50 Median 81,000 11, to position estimates based on Colquhoun data UK data from LIS, and for 0.1% from Piketty (Datacentral).
12 Inequality 135 years ago & now: Russia Anna s 150-fold gain (from Anna Karenina) Count Vronsky Karenin and Anna Anna s parents Income in 1875 (R pa) Gain 150 to 1 Approx. position in 1875 income distribution 100,000 Top 0.1% 9000/3~3000 Top 1% 200 Mean (around 65 th percentile) Income around 2005 (R pc pa) 3,000, ,000 53, to data from surveysfor05\eca\rus2005_3.dta. For the top 0.1%. I take the maximum incomes (multiplied by 3).
13 Elizabeth Bennet and Anna Karenina Incomes With Vronsky If Elizabeth marries Mr. Darcy The opening position in both novels If Elizabeth loses the estate Anna s family Alternative lives
14 Trade-off between inequality and love in marriage Marital bliss Nick Diver 1920 Elizabeth Bennet, 1810 Emma Rouault-Bovary, 1856 Anna Karenina, 1875 Country s Gini coefficient
15 1B. The three generations of Obamas
16 Obama s three generations Income Obama s grandfather: as high as he could get before reaching a colonial ceiling Europeans: 16,000 shillings on average! 240 shillings Subsistence: 140 shillings All blacks
17 Because colonies pushed inequality to its maximum and Kenya was not an exception Kenya 1927 Gini KEN NES DZA IND IND KEN JAV BIH JAV GDI per capita in 1990 PPP dollars
18 Independence s dashed hopes: Kenya s GDP per capita as % of US GDP per capita percent Kenya colony Independence: Obama s father comes to the US Obama s father dies Obama becomes President years Based on Maddison s data (in 1990 PPPs)
19 Citizenship premium (our next topic) in Obama s own words [My mother] had always encouraged my rapid acculturation in Indonesia...She had taught me to disdain the blend of ignorance and arrogance that too often characterized Americans abroad. But she now learned the chasm that separated the life chances of an American from those of an Indonesian. She knew which side of the divide she wanted her child to be on. I was an American, she decided, and my true life lay elsewhere [outside of Indonesia].
20 1C. How different are the United States and the European Union?
21 Inequality in the United States and European Union constituent units (Gini points, around 2005) Most equal Average Most unequal United States 34 (South Dakota; Wisconsin) European Union 24 (Hungary; Denmark) 39 (Delaware; Idaho) 31 (Netherlands) 45 (Texas; Tennessee) 38 (UK; Portugal) Difference 10 points 8 points 7 points
22 Dark color = high inequality countries or states
23 GDP per capita differences in the United States and European Union, around 2005 Poorest Average Richest Ratio top to bottom United States 66 (Mississippi; West Virginia) 100 (Rhode Island) 137 (Connecticut; Delaware) 2 to 1 European Union 36 (Bulgaria; Romania) 100 (Spain) 140 (Netherlands) 4 to 1 Difference -30 points 0points (by definition) +3 points
24 GDP per capita in countries of the European Union and states of the USA (unweighted) kdensity gdpppp Europe USA GDP per capita in PPP terms twoway (kdensity gdpppp if Deurope_inc==1) (kdensity gdpppp if Deurope_inc==0, legend(off) xtitle(gdp per capita in PPP terms)) Using sources\us_eu\us_vs_eu.dta
25 Ginis in countries of the European Union and states of the USA kdensity gini Europe USA Overall interpersonal Gini for both Gini. twoway (kdensity gini if Deurope==1) (kdensity gini if Deurope==0, legend(off) xtitle((gini) xline(31 38) xline(41, lwidth(thick))) Using US_vs_EU.dta in c:\perseus\sources
26 Between-unit and total inequality in selected countries, around year 2005 Gini: Betweenstates or countries Gini total (between individuals) Share of inter-state inequality in total (%) USA (50 states) ~20 EU-15 countries (preenlargement) EU-27 (post enlargement) China (29 provinces) ~60 EU-34 (all of Europe, incl. Turkey) EU data calculated from world2002.dta US from the same source;
27 Two types of inequalities The American: all constituent units are unequal internally, but the differences in their mean incomes are small The European: constituent units are equal internally, but mean income differences between them are large In the American type, poverty is an individual attribute; in the European type, poverty is a collective attribute Policies must be different too: pro-poor in one case, regional cohesion in the other
28 Implications How far can EU s expansion continue? With the last 2 expansions, EU has moved away from an American type of inequality With Turkey, EU s Gini would exceed 45, so Europe would come to resemble Latin America: does this set a limit to EU expansion? China has a similar structure of inequality like Europe Such huge inter-national differences in mean incomes set also a limit to a possible political unity of Asia (leaving even aside the two giants): Asia is by far the most income heterogeneous continent
29 2. Citizenship rent and global inequality of opportunity
30 2A. Les jeux sont faits when you are born?
31 An example: global percentile positions (income levels in $PPP) in Denmark and selected African countries percentile of world income distribution Denmark Mozambique Mali Tanzania Uganda country ventile Based on B. Milanovic, Worlds Apart: Measuring International and Global Inequality
32 Estimation y ij = b + b m + b G + b 0 1 j 2 j 3 C ij + ε ij mj = mean country income Gj = Gini coefficient Cij = income class of i-th individual in j-th country The issue: How to substitute parental income class (C ij *) for own income class (C ij ), and thus have the entire regression account for the effect of circumstances only? Run over income ventiles for 116 countries and 2320 (20 x 116) income levels (y ij )
33 Global inequality of opportunity How much of variability of income globally can we explain with two circumstances (Roemer) only: person s country of citizenship and income class of his/her parents? Both circumstances basically given at birth With citizenship person receives several public goods: income of country, its inequality level, and its intergenerational income mobility Use HS data to investigate that
34 Global equality of opportunity?country of citizenship explains almost 60% of variability in global income. (Estimated across representative individuals that have the mean income of their countries ventiles or percentiles). Citizenship and parental income class combined explain about 80%. For comparison: 4 circumstances (place of birth, parents, ethnicity, age) explain 40% of wage inequality in the US (N. Pistolesi, JofEI, 2009)
35 2B. Implications: migration; just international order
36 The XXI century trilemma A. Globalization of ideas, knowledge, Communication, awareness of others living standards B. Increasing differences in mean incomes among countries C. No movement of people If A and B, then no C. Migration is the outcome of current unequal globalization. If B and C, then no A. Unequal globe can exist if people do not know much about each other s living conditions or costs of transport are too high. If A and C, then no B. Under globalization, people will not move if income differentials are small.
37 Growing inter-country income differences and migration: Key seven borders today
38 The key borders today First to fourth world: Greece vs. Macedonia and Albania; Spain vs. Morocco (25km), Malaysia vs. Indonesia (3km) First to third world: US vs. Mexico The remaining three key borders walled-in or mined: N. Korea S. Korea; Yemen Saudi Arabia; Israel---Palestine In 1960, the only key borders were Argentina and Uruguay (first)vs. Brazil, Paraguay and Bolivia (third world), and Australia (first) vs. Indonesia (fourth)
39 Year 2007 Year 1980 Approximate % of foreign workers in labor force Ratio of real GDI per capita Greece (Macedonian/ Albanians) Spain (Moroccans) United States (Mexicans) Malaysia (Indonesians) to to to to * 3.6 to to to to 1 * BLS, News Release March 2009; data for 2008 inclusive of undocumented aliens.
40 Is citizenship a rent? If most of our income is determined by citizenship, then there is little equality of opportunity globallyand citizenship is a rent (unrelated to individual desert or effort) How much is citizenship worth? Black-market UK passports sold for about 5,000; legally purchase citizenship for about $1m in investment.
41 The logic of the argument Global inequality between individuals in the world is very high (Gini=70) Most of that inequality is explained by differences in countries per capita incomes Citizenship explains some 60% of variability in personal incomes globally (assessed across national ventiles) This was not the case in the past (around ) when within-national inequalities explained most of global inequality
42 The questions to ask: Citizenship is a morally-arbitrary circumstance, independent of individual effort It can be regarded as a rent (shared by all members of a community) Is inter-generational transmission of collectively acquired wealth acceptable? Is it different from inter-generational transmission of family wealth? Why? Political philosophy arguments prorent (social contract; statist theory; philia--aristotle) and contra (cosmopolitan, justice as equality of opportunity)
43 3. Global inequality and the Rawlsian world (also one of the vignettes)
44 Rawls on (a) inequality between countries and (b) global inequality Neither of them matters Concept 1 (divergence) is irrelevant if countries have liberal institutions; it maybe relevant for liberal vs. burdened societies Irrelevance rooted in two key assumptions: (i) political institutions of liberalism are what matters; (ii) acquisition of wealth immaterial for both individuals and countries Global inequality between individuals similarly irrelevant once the background conditions of justice exist in all societies But within-national inequalities matter because the difference principle applies within each people (note however that the DP may allow for high inequality)
45 Rawls on irrelevance of material wealth for a good society and global optimum It is a mistake to believe that a just and good society must wait upon a high material standard of life. What men want is meaningful work in free associations with others, these associations regulating their relations to one another within a framework of just basic institutions. To achieve this state of things great wealth is not necessary. In fact, beyond some point it is more likely to be a positive hindrance, a meaningless distraction at best if not a temptation to indulgence and emptiness. ( A Theory of Justice, Chapter V, 44, pp ). For Rawls, global optimum distribution of income is simply a sum of national optimal income distributions (my interpretation)
46 Go back to our definition of global inequality In Gini terms: n i= n n 1 Gi pi i+ ( yj yi ) pp i j + L π µ 1 i Rawls would insist of the minimization of each individual Gini (G i ) so that Term 1 (within-inequality) would be minimized. But differences in mean incomes between the countries can take any value. Term 2 (between inequality) could be very high. And this is exactly what we observe in real life. Term 2 accounts for 85% of global Gini. j> i Term 1 Term 2
47 Global Ginis in Real World, Rawlsian World, Convergence World and Shangri-La World Individual incomes within country All equal Mean country incomes All equal 0 Different (as now) 61.5 (all country Ginis=0) Different (as now) 45.6 (all mean incomes same; all country Ginis as now) 69.7
48 Conclusion and 21 st century policy issues To reduce significantly global inequality (and poverty) and citizenship rent there are two ways: A slow and sustainable way: higher growth rate of poorer countries A fast and possibly politically tumultous way: increase migration Either poor countries will have to become richer or poor people will move to rich countries. Should migrants be taxed additionally to pay native population s losers and those remaining in their countries of origin?
49 EXTRAS. Should the whole world be composed of gated communities
50 Passages and death at average annual Estimated successful illegal passages rates Number of arrests Deaths Death rate Relative death rate Berlin Wall ~200* 115 ~7 2.2% 100 Mexican Wall 200,000 About 1 million % 2 Africa/EU 200,000 Around % 23 * Most of the successful passages before the consolidation of the Wall.
51 A debate about inequality: come prepared The Economist (January 2011): Remember: Envy is a deadly sin! (List made in 4 th century, envy introduced on the list in the 7 th ) Again I tell you, it is easier for a camel to go through the eye of a needle than for a rich man to enter the kingdom of God. "If you want to be perfect, go, sell your possessions and give to the poor, and you will have treasure in heaven. (in Mark, Luke and Matthew)
52 China
53 China ( ) Red: fast growth (1σ above the mean) Yellow: average Light yellow: slow (1σ below the mean) North to South Shandong Jiangsu Zhejiang Fujian Guangdong
54 China s Gang of Eleven: 5 maritime provinces + 4 city provinces + Hong Kong and Macao: almost 60% of GDP by a third of the population Provinces are from N to S: Shanong, Jiansu,Zhejiang, Fujian,Guangdong
55 India and China Ginis, GiniW + giniwy India China year twoway (scatter Giniall year if contcod=="ind" & Di==0 & Dhh==0, connect(l)) (scatter Giniall year if contcod=="chn" & Di==1 & Dhh==0 & year<2005, connect(l)), legend(off) text( "India") text( "China") From igdppppreg.dta
56 Where are the BRICS compared to the United States (year 2005, new PPPs)? percentile of world income distribution USA Russia Brazil China India country ventile Using world2002_2005dta and michele_graph.do
57 BRICs and the US in percentiles (year 2002; new PPPs) percentile of world income distribution Brazil USA Russia India country percentile Using world2002_centile.dta and michele_graph.do
58 Chinese and American income distributions, China-rural China--urban USA income in PPP dollar logs twoway (kdensity loginc [w=popu] if year==2005 & loginc>1 & contcod=="chn-r", area(678)) (kdensity loginc [w=popu] if year==2005 & loginc>1 & contcod=="chn- U", area(626)) (kdensity loginc [w=popu] if year==2005 & loginc>1 & contcod=="usa", area(296)), legend(off) xtitle(income in PPP dollar logs) text( "Chinarural") text( "China--urban") text( "USA") From world2002_2005.dta
59 The crisis
60 Rich man s crisis? 2008 GDP per capita against growth rate in 2009 (with population weights) growth rate in GDP per capita in 2005 PPP year 2008 twoway (scatter gdpgrth lgdpppp [w=pop] if year==2009 & gdpppp<50000 & gdpppp>500, yline(0) xscale(log) xlabel( ) msymbol(circle_hollow)) (qfit gdpgrth gdpppp [w=pop] if year==2009 & gdpppp<50000, legend(off) xtitle(gdp per capita in 2005 PPP year 2008) ytitle(growth rate in 2009)) Using gdpppp.dta
61 Plutocratic and democratic real global growth rate, people global growth rate global plutocratic growth rate year twoway (scatter gdprog year if contcod=="usa" & year>1990, connect(l) yline(0) legend(off)) (scatter gdprog year if contcod=="usa" & year>1990, connect(l) text( "global plutocratic growth rate") text( "people global growth rate")) From gdppppreg.dta
62 Global Policy public lecture The Haves and Have Nots Branko Milanovic Lead economist, World Bank's research division Visiting fellow, All Souls College, Oxford, Professor Danny Quah Chair, LSE
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