ten facts about inequality in advanced economies

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Peterson Institute for International Economics 17 October 2019 Ten facts about inequality in advanced economies Lucas Chancel Co-director and Senior Economist World Inequality Lab, Paris School of Economics

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Peterson Institute for International Economics17 October 2019

Ten facts about inequality in advanced economies

Lucas ChancelCo-director and Senior Economist

World Inequality Lab, Paris School of Economics

2

Survey paper « Ten key facts about inequality in advanced economies »

1. Inequality data remains scarce in the digital age

2. Income inequality is on the rise after a historical decline

3. Nations became richer but govts. became poorer

4. Capital is back, for a few

5. No sign of a new normal since the Great Recession

This presentation: the inequality landscape in advanced economies

3

Survey paper « Ten key facts about inequality in advanced economies »

6. Global inequality is now more about class than nationality

7. Higher inequality is associated with less social mobility

8. Gender and racial inequalities remain high, particularly at the top

9. Predistribution policies drive US/EU growth differentials at the bottom

10. Progressive taxation is key to curb extreme inequality at the top

This presentation: the inequality landscape in advanced economies

4

Inequality data remains scarce in the digital age

5

A significant share of capital income is not recorded on tax recordsReconciling national capital income andcapital income reported on tax returns

0%

5%

10%

15%

20%

25%

30%

1916

1920

1924

1928

1932

1936

1940

1944

1948

1952

1956

1960

1964

1968

1972

1976

1980

1984

1988

1992

1996

2000

2004

2008

2012

% o

f nat

iona

l inc

ome

From taxable to total capital income

Didivends, interest, rents & profits reported on tax returns

Imputed rents + property tax

Retained earnings

Income paid to pensions & insurance

Non-filers & other

Corporate income tax

Source: Appendix Table I-S.A8.

Composition of capital income in the US, 1916-2012

Source: Piketty, Saez, Zucman (2018)

2/3 not reported on

tax data

6

Distributional national accounts: systematic combination of survey, tax and national accountsdata to distribute 100% of macroeconomic growth

Top 10% income share in Germany and France, 1995-2015: Survey vs. tax vs. Distributional National Accounts (DINA)

Top 10% Survey

Top 10%Tax

Germany France

Top 10% Survey

Top 10%Tax

Top 10% DINASurvey+Tax+Nat. Acc.

Top 10% DINASurvey+Tax+Nat. Acc.

Source: Author based on Blanchet, Chancel and Gethin (2019)

7

Income inequality is on the riseafter a historical decline

8

After a historical decline, income inequality rose at different speeds

Top 1% income share across the world, 1900-2018(decennial averages)

0

5

10

15

20

25

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

% n

atio

nal i

ncom

e

India Russia USA Western Europe China

Source: Author based on WID.world (2019)

0

5

10

15

20

25

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

% n

atio

nal i

ncom

e

USA Western Europe

9

After a historical decline, income inequality rose at different speeds

Top 1% income share across the world, 1900-2018(decennial averages)

0

5

10

15

20

25

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

% n

atio

nal i

ncom

e

India Russia USA Western Europe China

Source: Author based on WID.world (2019)

0

5

10

15

20

25

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

% n

atio

nal i

ncom

e

USA Western Europe

0

5

10

15

20

25

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

% to

tal i

ncom

e

USA Western Europe Japan AU-NZ

10

In the US, the bottom 50% income share collapsed. The fall was much more contained in Europe.

52 How Unequal Is Europe?

Figure 26: Income inequality trends in Europe and the US, 1980-2017

(a) Bottom 50% vs. Top 1% income shares

5

7.5

10

12.5

15

17.5

20

22.5

25

Shar

e of

nat

iona

l inc

ome

(%)

1980 1985 1990 1995 2000 2005 2010 2015

United States

5

7.5

10

12.5

15

17.5

20

22.5

25

1980 1985 1990 1995 2000 2005 2010 2015

Europe

Bottom 50% Top 1%

(b) Growth Incidence Curves

0

100

200

300

400

500

600

700

Tota

l inc

ome

grow

th (%

)

10 20 30 40 50 60 70 80 90 99 99.9 99.99 99.999Income group (percentile)

United States Europe

Source: authors’ computations combining surveys, tax data and national accounts for Europe;Piketty, Saez, and Zucman (2018) for the United States.

WID.world Working Paper 2019–6

Top 1% and bottom 50% pretax income shares in Europe and the EU, 1980-2017

Source: Author based Blanchet, Chancel and Gethin (2019) and Piketty, Saez and Zucman (2018)

11

Capital is back, for a few

12

Wealth inequality has been rising at different speeds since the 1980s

Top 1% wealth share in the US and Europe, 1910-2014

0%

10%

20%

30%

40%

50%

60%

70%

1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

Top

1% p

erso

nal w

ealth

sha

reFrance United Kingdom

USA Sweden

Source: Author using WID.world data. Distribution of per adult personal wealth.

13

The return of wealth inequality in the US is mainly driven by the very top of the distribution. Dynamic of savings rate played a huge role in driving these trends.

Wealth inequality in the US, 1913-2012

0%

5%

10%

15%

20%

25%

30%

1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

Shar

e of

hou

seho

ld w

ealth

(%)

Top 0.1%

Top 1-0.1%

Source: Saez and Zucman (2016)

14

Wealth at the top grew 3x faster than avg. wealth, 9x faster than avg. income

Source: Author based on WID.world (2019) and Blanchet (2018)

Top 1/100 million (Forbes) 8.9%

Top 1/20 million (Forbes) 8.8%

Top 0.01% (WID.world) 6.1%

Top 0.1% (WID.world) 4.9%

Top 1% (WID.world) 4.0%

Average wealth 2.7%

Average income 1.0%

Annual real wealth growth per adult, 1987-2017

Wealth group US + EU

15

Nations have become richerbut governments have become poor

16

Net private wealth has risen since the 1970s while public wealth collapsed

iii. why does the eVolution of PriVate and PubliC CaPital ownershiP matter for inequality?

Economic inequality is largely driven by the unequal ownership of capital, which

can be either privately or public owned. We show that since 1980, very large

transfers of public to private wealth occurred in nearly all countries, whether

rich or emerging. While national wealth has substantially increased, public

wealth is now negative or close to zero in rich countries. Arguably this limits the

ability of governments to tackle inequality; certainly, it has important implica-

tions for wealth inequality among individuals.

over the past decades, countries have become richer but governments have become poor.

▶ the ratio of net private wealth to net national income gives insight into the total value of wealth commanded by individuals in

-100%

0%

100%

200%

300%

400%

500%

600%

700%

800%

2015201020052000199519901985198019751970

Val

ue

of

net

pu

blic

an

d p

riva

te w

ealt

h (%

of

nat

ion

al in

com

e)

In 2015, the value of net public wealth (or public capital) in the US was negative (-17% of net national income) while the value of net private wealth or private capital as o national income In , net public ealth amounted to o national income hile the figure as or net

private wealth. Net private wealth is equal to new private assets minus net private debt. Net public wealth is equal to public assets minus public debt.

Source: WID.world (2017). See wir2018.wid.world for data series and notes.

Spain

France

Germany

UK

Japan

US

Private capital

Public capital

Figure e6 the rise of private capital and the fall of public capital in rich countries, 1970–2016

exeCutIve summary

World inequalit y report 201814

Private and public capital in rich countries, 1970-2015

Source: Alvaredo, Chancel, Piketty, Saez and Zucman (2018)

Higher inequality is associatedwith lower social mobility

18

40%

50%

60%

70%

80%

90%

100%

1940 1945 1950 1955 1960 1965 1970 1975 1980 1985

Perc

enta

ge o

f chi

ldre

n ea

rnin

gm

ore

than

thei

r par

ents

at a

ge 3

0

Birth cohort

Absolute mobility (% children earning more than their parents) declined in the US since the 1970s while relative mobility (% low income individuals making it to the top) was broadly stable.

Absolute income mobility in the US, 1970-2014

Source: based on data from Chetty et al., 2017.

In 2014, 50% ofAmericans aged30 earned morethan their parents.

In 1970, 92% ofAmericans aged 30earned more thantheir parents.

19

Gender and racial inequalitiesremain high after a historical decline

20

Gender inequality declined since the 1960s thanks to the rise of female participation & reduction of gender pay gap, but the gap remains high.

Source: Piketty, Saez and Zucman, 2018. Men and women aged 20-64.

Gender inequality in the US, 1962-2014(average pretax labor income of men aged 20-64 / of women aged 20-64)

In 2014, men earned 75% more than women

21

Gender inequality remains particularly high at the top of the distribution in rich countries

Share of women by income group in France, 1970-2012

Source: Garbinti, Goupille and Piketty, 2018

22

Equal access to education, health and well-paid jobs are key to lift pretax income at the bottom of the distribution

23

Growth divergence at the bottom in EU and US is pretax not posttax: key role of « predistribution »

Bottom 50% pretax income growth in Europe and the EU, 1980-2017

Source: Blanchet, Chancel and Gethin (2019). US data from Piketty et al. (2018).

24

Inequality in access to higher education is particularly strong in the US

intergenerational mobility is lo er in areas ith larger A rican-American populations o ever, in areas ith large A rican-Amer-

ican populations, both blacks and whites have lower rates of upward income mobility, indi-cating that social and environmental causes other than race, such as differences in history and institutions, may play a role. spatial and social segregation is also negatively associ-ated with upward mobility. in particular, longer commuting time decreases opportuni-ties to climb the social ladder, and spatial segregation o the poorest individuals has a stronger negative impact on mobility his suggests that the isolation o lo er-income amilies and the di ficulties they e perience

in reaching ob sites are important drivers o social immobility.

income inequality at the local level, school quality, social capital, and family structure are also important actors igher income ine uality among the poorest o indi-

viduals is associated with lower mobility.15 Mean hile, a larger middle class stimulates upwards mobility.16 igher public school e penditures per student along ith lo er class si es signi icantly increase social mobility igher social capital also avors mobility or e ample, areas ith high involve-ment in community organi ations 17 finally, amily structure is also a ey determinant

upward mobility is substantially lower in areas here the raction o children living in single-

parent households, or the share of divorced parents, or the share of non-married adults is higher

hat is remar able is that combining these actors e plains very e ectively social

mobility patterns a en together, ive actors commuting time, income ine uality

among the poorest individuals, high-school dropout rates, social capital, and the raction o children ith single parents

e plain o ine ualities in up ard mobility

30% of children whose parents are in the Bottom 10% of the income distribution attend college between age 18 and 21. Almost 90% of children whose parents are in the Top 10% of the income distribution attend college between age 18 and 21.

Source: Chetty, Hendren, Kline and Saez (2014). See wir2018.wid.world for data series and notes.

20%

40%

60%

80%

100%

1009080 706050403020100

Sh

are

of

chil

dre

n w

ho

att

en

d c

oll

ege

b

etw

ee

n a

ge 1

8-2

1 (%

)

Parent income rank

Figure 5.4.1 College attendance rates and parent income rank in the us for children born in 1980–1982

Part v taCklinG eConomiC inequalit y

World inequalit y report 2018270

College attendance rate and parent income rank in the US for children born in 1980-1982

~90% of childrenfrom the top 10% US attend college

~30% of childrenfrom the bot. 20% US attend college

25

Anglo-Saxon countries largely rely on private higher eductation funding. Central EU + Scandinavian countries essentially rely on public.

0%

10%

20%

30%

40%

50%

60%

70%

United States UK/Canada/AU/NZ France/Italy/Spain Germany/Austria/Scandinavia

Shar

e of

priv

ate

fund

ing

in to

tal e

xpen

ditu

res

(%)Share of private funding in higher education, 2014

Higher education

Primary-secondary

Source: Piketty, 2019 based on OECD (2014)

26

Minimum wage reduced by 30% in the US since the 1970s, multiplied by x3 in France, introduced in Germany, UK. Scandinavian countries: branch agreements + high union density.

0

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20152010200520001995199019851980197519701965196019551950

US

ho

url

y m

inim

um

wag

e (C

on

stan

t 2

01

6 $

)

Fre

nch

ho

url

y m

inim

um

wag

e (2

01

6 €

PP

P)

Between 2000 and 2016, the hourly minimum wage rose from €7.9 to €9.7 in France, while it rose from $7.13 to $7.25 in the US. Income estimates are calculated using Purchasing Power Parity (PPP) euros for France and dollars for the US. For comparison, €1 = $1.3 = ¥4.4 at PPP. PPP accounts for differences in the cost of living bet een countries Values are net o inflation

France (2016 €)

Source: Piketty (2014) and updates. See wir2018.wid.world for data series and notes.

US (2016 $)

Figure 5.4.3 minimum wage in France and the us, 1950–2016

taCklinG eConomiC inequalit y

World inequalit y report 2018 277

Part v

Minimum wage in France and the US, 1950-2016

27

Shifts in progressive taxation fueledinequality at the top

28

Progressive taxation was reduced since the 1980s, different patterns across countries.

0%

20%

40%

60%

80%

100%

201020001990198019701960195019401930192019101900

To

p m

arg

ina

l ta

x r

ate

(%

)

Between 1963 and 2017, the top marginal tax rate of income tax (applying to the highest incomes) in the US fell from 91% to 40%.

Sources: Piketty (2014) and updates. See wir2018.wid.world for data series and notes.

France

Germany

UK

Japan

US

Figure 5.2.2 top income tax rates in rich countries, 1900–2017

0%

20%

40%

60%

80%

100%

201020001990198019701960195019401930192019101900

To

p m

arg

ina

l ta

x r

ate

(%

)

Source: Piketty (2014) and updates. See wir2018.wid.world for data series and notes.

Between 1980 and 2017, the top marginal tax rate of inheritance tax (applying to the highest inheritances) in the UK fell from 75% to 40%.

France

Germany

UK

Japan

US

Figure 5.2.3 top inheritance tax rates in rich countries, 1900–2017

Part v taCklinG eConomiC inequalit y

World inequalit y report 2018260

29

Changes in top tax rates relatively associated to changes in top income shares.

suggests that top ta rates play a ey role in moderating pre-ta top incomes In addition, there as no significant impact on gro th, suggesting again that bargaining elasticities are more important than incentive effects.

a window of opportunity for tax progressivity?

Figure 5.2.2 presents in detail the evolution o top marginal income ta rates in the nited states, the uk, Germany, france, and Japan since In the five countries, there as either no personal income ta ation or there was a very modest of it at the turn of the t entieth century Income ta as then intro-duced, partly to finance the irst orld ar, and top marginal ta rates ere brought to very high levels in the s op ta rates rose up to 94% in the united states, 98% in the uk.) top rates were then drasti-cally reduced from the 1970s onwards (from

on average in these countries to on average in the mid- s

o to account or these movements p until the 1970s, policymakers and public opinion probably considered rightly or

rongly that at the very top o the income ladder, compensation increases reflected mostly greed or other socially aste ul activ-ities rather than productive work effort. this is why the united states and uk were able to set marginal ta rates as high as More recently, the eagan/ hatcher revolution succeeded in ma ing such top ta rate levels unthinkable, at least for a while. but after decades o increasing income concentration that has brought about mediocre gro th since the s, and a Great ecession trig-gered by inancial sector e cesses, a rethin ing o the eagan and hatcher poli-cies is perhaps underway—at least in some countries.

op marginal income ta increased in the united states, uk, Germany, france, and Japan over the past ten years. the united Kingdom, or instance, increased its top

Ch

an

ge in

To

p 1

% in

com

e s

ha

re

(pe

rce

nta

ge p

oin

ts)

Change in top marginal tax rate (percentage points)

UK

Spain

GermanySwitzerland

FranceDenmark

Netherlands

Canada

Australia

ItalyFinland

Sweden

Norway

Japan

In the US, the top marginal income tax rate was reduced by 33 percentage points between the early 1970s and the early 2010s. During the same period of time, the Top 1% income share increased by 9.5 percentage points.

Portugal

Source: Piketty, Saez and Stantcheva (2014). See wir2018.wid.world for data series and notes.

USA

Ireland

NZ

-40 -30 -20 -10

0

100

2

4

6

8

10

Figure 5.2.1 Changes in top marginal tax rates and top income shares in rich countries since the 1970s

taCklinG eConomiC inequalit y

World inequalit y report 2018 259

Part v

30

§ Return of inequality since the 1980s, no clear trend inversion after 2008 crisis

§ Large divergence across countries: policies matter a lot beyond trade and tech

§ US/Europe growth differentials at the bottom: importance of « predistribution » policies (e.g. education, health, high-paid jobs)

§ Growth at the top: role of progressive taxation

§ Education, health need to be financed: need to reconsider role of « pre » and « re » distribution as complementary tools, not substitutes

Concluding remarks