KEELEY, Brian. Icome Inequality - TheGap Between Rich and Poor PDF
KEELEY, Brian. Icome Inequality - TheGap Between Rich and Poor PDF
KEELEY, Brian. Icome Inequality - TheGap Between Rich and Poor PDF
OECD INSIGHTS
Brian keeley
Brian Keeley
century ago, the average disposable income
between Rich of the richest 10% in OECD countries was
and Poor around seven times higher than that of
the poorest 10%; today, it’s around 9½
times higher. Why does this matter? Many fear
this widening gap is hurting individuals, societies The Gap between Rich and Poor
and even economies. This book explores income
inequality across five main headings. It starts by
explaining some key terms in the inequality debate.
It then examines recent trends and explains why
income inequality varies between countries. Next
it looks at why income gaps are growing and, in
particular, at the rise of the 1%. It then looks at the
consequences, including research that suggests
widening inequality could hurt economic growth.
Finally, it examines policies for addressing inequality
and making economies more inclusive.
INCOME INEQUALITY
Human Capital (2007)
From Crisis to Recovery (2010)
From Aid to Development (2012)
isbn 978-92-64-24600-3
01 2015 39 1 P
OECD Insights
Income Inequality
The Gap between Rich and Poor
Brian Keeley
This work is published under the responsibility of the Secretary-General of
the OECD. The opinions expressed and arguments employed herein do not
necessarily reflect the official views of OECD member countries.
This document and any map included herein are without prejudice to the
status of or sovereignty over any territory, to the delimitation of international
frontiers and boundaries and to the name of any territory, city or area.
The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli
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Foreword
Inequality is bad and getting worse. In the 1980s, the richest
10% of the population in OECD countries earned 7 times more than
the poorest 10%. They now earn nearly ten times more. When you
include property and other forms of wealth, the situation is even
worse: in 2012, the richest 10% controlled half of all total household
wealth and the wealthiest 1% held 18%, compared to only 3% for the
poorest 40%.
Angel Gurría
OECD Secretary-General
Currency Note
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Bibliography. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
Introduction
There are few signs that this concern is easing. At the 2015
Davos World Economic Forum – an event one commentator described
as “dominated by the proverbial 1%” – income inequality was “top of
the agenda”. The past few years have also seen a 700-page tome on
inequality, Thomas Piketty’s Capital, rise to the top of the best-seller
list. And they have produced survey findings indicating public
disquiet over the gap between rich and poor – “a big problem,”
according to majorities in 44 countries polled by the Pew Research
Centre.
Rising inequality
than 10% of total pre-tax income in every OECD country bar one.
Thirty years later, their share was above 10% in at least nine
OECD countries and above 20% in the United States.
Data: The gap between rich and poor is at its highest for 30 years, with
the top 10% now earning 9.6 times more than the poorest 10%
10
0
Mid-1980s Mid-1990s Mid-2000s 2013
It’s not just wealthy countries that are seeing growing gaps
between rich and poor. While developing countries have made
impressive strides in reducing poverty in recent years, many have
also seen a rise in income inequality. In Asia, income inequality has
grown in a number of the region’s economic powerhouses, including
China, India and Indonesia; in China, it rose by about 1.6% a year in
the two decades following 1990. It rose, too, in sub-Saharan Africa
but declined in many South American countries, although it remains
high by global levels.
But there’s growing concern over what happens when the gap
between rich and poor grows too wide and when economic growth
delivers benefits only to the well off. Evidence increasingly suggests
that high inequality slows economic growth and reduces social
mobility. Many also fear that widening divisions threaten the
stability of our societies and could hold back the development of
consensus on meeting common challenges.
➤ More from Insights will take you to material aimed at the non-
specialist reader, mostly from the OECD Insights Blog and book
series.
➤ More from the OECD will take you to material that may be more
suitable for the reader with specialist knowledge, mainly from
OECD reports and publications.
➤ Data will take you to data from the OECD, including static charts
as well as interactive data (online only) from the OECD Data Portal.
Users can access the background data to charts and tables, as well
as important notes and disclaimers, by using the StatLink.
Key themes
For centuries, the nursery song “Tinker, Tailor” was used by
children to determine who they might marry. Counting out cherry
stones or daisy petals, they would chant a still familiar rhyme:
With origins that can be traced back to at least 1475, the song is
a reminder that, in much of human history, some level of economic
inequality has been a recurring theme. In other words, some people
have usually had more than others. But the extent of this inequality
has varied considerably. Today in northern Europe, for example, the
gap between rich and poor is still relatively narrow compared to
other developed countries. In other countries, such as the
United States and Turkey, China and in Central and South America,
it’s typically much wider.
Why does this matter? Later sections will explore the impacts of
income gaps on our economies and societies. But, for now, it’s
enough to say that we need to understand how economic resources
are spread across society to determine the extent to which people
are in the economic mainstream or on its fringes.
What is income?
More from the OECD: How does your income compare with everyone
else’s? And how well do you understand how income is spread out
across society? Get the answers with the OECD’s Compare Your
Income tool: http://www.oecd.org/statistics/compareyourincome.htm.
What is wealth?
More from the OECD: Data on income and wealth can be found at the
OECD’s Better Life Index (http://www.oecdbetterlifeindex.org) and at
the OECD Data Portal (https://data.oecd.org).
More from the OECD: Wealth inequality generally fell in the middle
of the 20th century but has risen in recent years. See “The Distribution
of Wealth”, (Bonesmo Fredriksen, 2012), an OECD working paper,
http://dx.doi.org/10.1787/5k9h28t0bznren.
Representing inequality
Data: In the OECD, income inequality varies from around 25 Gini points in
some Nordic countries to over 40 Gini points in Turkey and Mexico.
0 10 20 30 40 50
Inequality (Gini points)
What are typical Gini values? The average Gini value across
OECD countries is 31.5 points, although there is quite a lot of
variation between countries. The societies with the lowest levels of
inequality, Slovenia and some of the Nordics, score around 24 to 28
Gini points; the most unequal societies, such as Mexico and Chile,
score around 45 points.
Absolute poverty
Relative poverty
based around the idea of a fixed basket of goods and services that
economists estimate are the basic minimum that families need in
order to get by. But there’s no international agreement on what
should be in these baskets, which makes international comparisons
of absolute poverty very challenging. That’s why for wealthier
countries the concept of relative poverty can be more useful. Rather
than measuring people’s economic situation against a fixed bar,
relative poverty gauges where people stand compared to everyone
else in their society.
Data: Poverty has risen in some OECD countries since the 1980s; around
11% of people in OECD countries live below the poverty line.
Israel
Mexico
Turkey
Chile
United States
Japan
Spain
Korea
Australia
Greece
Italy
Canada
Estonia
Portugal
OECD
Poland
New Zealand
United Kingdom
Belgium
Switzerland
Slovenia
Sweden
Ireland
Germany
Austria
France
Slovak Republic
Norway
Netherlands
Finland
Luxembourg
Hungary
Iceland
Denmark
Czech Republic
0 5 10 15 20 25
%
More from the OECD: Children in OECD countries are more likely to
live in poverty than any other social group. Explore the OECD Family
Database, http://www.oecd.org/els/soc/oecdfamilydatabase.htm.
Multidimensional poverty
Key themes
For much of the 20th century, the gap in incomes between the
well-off and less well-off is generally thought to have narrowed in
much of the world. In effect, the rich didn’t get much richer while
the poor caught up a bit. According to research based on The World
Top Incomes Database, this decline in inequality began in North
America and much of Europe in around the 1920 and 1930s and a
little later, perhaps the 1950s, in some developing countries. But
then, in the 1970s and 1980s, the pattern began to reverse, and
inequality began to rise again.
The shift was even more pronounced over roughly the same
period among the top 1% of earners, especially in English-speaking
countries. In the United States, for example, the share of pre-tax
income going to the richest 1% more than doubled, reaching almost
20% in 2012.
Data: Income inequality has increased in most OECD countries since the
mid1980s.
45
40
35
30
25
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relatively rare. Most people receive cash transfers from the state, and
income taxes are strongly progressive – in other words, higher
earners lose a bigger share of their income in tax.
Since the late 1990s, the engine of the world economy has
moved from the traditionally wealthy OECD countries to developing
and emerging economies – a phenomenon sometimes called
“shifting wealth”. China and India are the most famous examples,
but they’re not alone: In the 1990s, only 12 developing economies
saw their GDP per capita grow at more than double the rate of
OECD countries; in the 2000s that number soared to 83.
Data: Poverty rates in developing countries have fallen sharply since the
early 1980s, although much of the decline reflects China’s economic
resurgence.
40
$1.25 per day (less China)
20
0
1981 1984 1987 1990 1993 1996 1999 2002 2005 2008
Other factors are also at work. One, for example, is the extent to
which people in many poorer countries work informally, with no
written contracts and little in the way of terms and conditions of
employment. In Mexico and Brazil, around half of jobs are in the
informal sector, a level that rises to around 80% in India and
Indonesia. Such jobs contribute to inequality in a number of ways –
for one thing, they pay less than formal jobs. They also rarely offer
workers opportunities for training and promotion. And they are
unpredictable, meaning workers may find themselves without an
income at very short notice.
However it’s measured, the key point is that even though this
new middle class remains economically vulnerable, it has at least
risen above day-to-day subsistence living and can plan for, and
invest in, the future. And that, historically, has been one of the most
significant attributes of the middle classes. In the words of the
development expert Homi Kharas, “the middle class has been
thought of as the source of entrepreneurship and innovation – the
small businesses that make a modern economy thrive. Middle class
values also emphasise education, hard work and thrift. Thus, the
middle class is the source of all the needed inputs for growth in a
neoclassical economy – new ideas, physical capital accumulation
and human capital accumulation.” It’s also traditionally seen as an
important political player, both as a source of stability and a force for
policies like investment in education.
Key themes
Through the taxes it collects and the benefits it pays out, the
state plays a major role in reducing inequality. But the state’s role has
been evolving, with a general trend towards policies that redistribute
less. Other economic policies, such as a move to reduce regulation,
have also probably helped to increase inequality.
➤ International migration
225 600
200 500
175 400
150 300
125 200
100 100
75 1980 = 100 0
50 -100
0
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9
8
0
8
0
19
19
19
19
19
19
19
19
19
19
0
0
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2
2
Data: Labour’s share of national income fell in almost all OECD countries
in recent decades.
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More from the OECD: The rise of nonstandard work and its impact on
inequality is examined in In It Together: Why Less Inequality Benefits All
(OECD, 2015), http://dx.doi.org/10.1787/9789264235120en.
More from the OECD: How can policy respond to the rise of the
nontraditional job? The options are examined in OECD Policy Brief:
Adapting to the changing face of work,
www.oecd.org/policybriefs/Adaptingtothechangingfaceofwork.pdf.
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Singleparent families
More from the OECD: Statistics on the size and shape of families can
be found at the OECD Family Database,
http://www.oecd.org/els/soc/oecdfamilydatabase.htm.
The wages we earn from our employers are only one factor –
albeit an important one – in determining how much we have to
spend on ourselves and our families. What really matters is what’s
left after we pay our taxes and receive state transfers – a total that
economists refer to as disposable income. Taxes and transfers do
much to reduce income inequality for two main reasons. Firstly,
higher-wage workers tend to pay higher taxes than their lower-wage
counterparts; secondly, lower-wage workers tend to receive more
support from the state. Combined, these systems of taxes and
transfers play a big role in narrowing income gaps.
Data: The taxes that workers pay to the state, and the transfers they
receive, do much to narrow the earnings gap in OECD countries.
60
55
50
45
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25
20
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Regulation
has been particularly striking in the United States: In 1980, the top
1% of income recipients in the U.S. earned 8% of all pre-tax income;
by 2012, their share had risen to over 19%. Other OECD countries also
saw big rises, including the United Kingdom and Australia.
Data: Top earners have increased their share of total earnings in most
OECD countries since the 1980s.
20
15
10
0
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Source: OECD (2014), “Focus on Top Incomes and Taxation in OECD Countries: Was
the crisis a game changer?”, http://dx.doi.org/10.1787/888932965953.
The rising income share of the 1% has become a hot issue, but
some observers believe this focus actually misses much of the story
of rising income inequality. As well as looking at the top 1% of
earners, they argue, we should also look at an even smaller segment
– the top 0.1% of earners (1 in 1,000), and even the top 0.01% of
earners (1 in 10,000). As the Nobel laureate Paul Krugman has noted,
data from the U.S. Congressional Budget Office shows that
between 1979 and 2005, the after-tax income of Americans in the
middle of the income distribution rose by 21%; among the 0.1% it
was up 400%.
Some of the top earners are household names – sports stars like
Serena Williams and entertainers like Jackie Chan and Taylor Swift –
but most are not. In the United States in 2010, the largest group,
about 41%, was made up of executives in non-financial businesses,
like Apple and Walmart. Around 18% were employees – and not
necessarily executives – in banks and finance houses. In the
United Kingdom, the finance crowd accounted for about 21% of top
earners and in France about 15%.
The fact that so many of the top earners work for a living is
striking. Back in the early 20th century, when income inequality last
reached the levels we’re seeing today, much of the income of top
earners came from rents on land and property as well as income
from investments in government bonds. By contrast, today’s top
earners are more likely to be either a salaried employee, for example
an executive like Morgan Stanley chairman James Gorman, or a
company founder, like Facebook’s Mark Zuckerberg.
More from Insights: Rich Man, Poor Man: Are “the 1%” worth it?,
asks the OECD Insights Blog, http://wp.me/p2v6oD1AR.
Changes in the way top earners are paid: The heavy presence
of top executives and finance professionals among top earners is
significant. In recent decades, and especially in English-speaking
countries, a growing slice of their income has come not in the form
of a monthly salary payment but as valuable stock options.
More from Insights: Too much money is bad for you, says the OECD
Insights Blog as it looks at the impact of finance on growth,
http://wp.me/p2v6oD28k.
Tax and pay: The past few decades have also seen substantial
falls in top tax rates in many developed countries. Across
OECD countries, the average top statutory tax rate fell from 66%
in 1981 to 41% in 2008. High earners have benefited from other
changes in tax regimes, too. Tax on property and on inheritances has
tended to fall, allowing high earners to build up wealth.
As The Economist has noted, the usual justification for lower rates
of tax on top earners is that it encourages growth: “Stop penalising
success, goes the argument, and the economy will soar.” But, as it has
also noted, this link is not always supported by the evidence:
“America’s economy grew strongly in the 1920s and 1960s, when top
rates were high. It fared better in the 1990s, when top rates increased
Data: Tax rates on top incomes fell substantially between the 1980s and
the financial crisis.
Source: OECD (2014), “Focus on Top Incomes and Taxation in OECD Countries: Was
the crisis a game changer?”, http://dx.doi.org/10.1787/888932965953.
a bit, than in the 2000s, when they declined.” Against that, many
economists argue that there are limits to the amount of extra revenue
that higher taxes can bring in. Higher taxes do inhibit growth, they
argue, and they also increase the incentives for high earners to engage
in aggressive tax planning, which allows them to reduce the share of
income and wealth exposed to tax. (see Section 5.5).
Key themes
Kuznets’ hypothesis
0.45
0.40
0.35
0.30
0.25
0.20
0.15
0.10
18 20 22 24 26 28 30 32 34 36 38
Inequality (Gini coefficient)
This effect is visible not just in maths skills. It can also be seen in
the length of time people spend in education and employment – rising
inequality has little impact on the numbers of people from better-off
and middle-income families who graduate from university or on how
they do in the job market. The same is not true for people from poorer
backgrounds. As inequality rises, they become less likely to graduate
from university and more likely to endure periods of unemployment.
which they are the controlling shareholders.” Such tensions have long
been recognised. Almost a century ago, the jurist Louis D. Brandeis
declared, “We may have democracy, or we may have wealth
concentrated in the hands of a few, but we can’t have both.”
More from Insights: Find out why it’s “never too early to join
the rat race” at the OECD Insights Blog, http://wp.me/p2v6oD1ws.
Data: Young people whose parents didn’t finish secondary education are
themselves underrepresented in universitylevel education, indicating that
inequalities in access to education persist from one generation to the next.
Spain
Italy
Ireland
Netherlands
Australia
Korea
France
Average
Flanders (Belgium)
Denmark
England/N. Ireland (UK)
Sweden
Austria
Slovak Republic
Finland
Russian Federation
United States
Norway
Canada
Poland
Estonia
Germany
Japan
Czech Republic
0 20 40 60
%
More from the OECD: PISA’s findings on the inequality and equity in
education are explored in PISA 2012 Results: Excellence through Equity
(OECD, 2012), http://dx.doi.org/10.1787/9789264201132en.
Overcoming inequalities
However, this research is not without its critics. For one thing,
there are major data issues at the national level in pulling together
statistics on mobility, and at the international level in producing
numbers that can be compared between countries. And, as with so
much in this area, correlation does not necessarily imply causation.
For example, the relatively high rates of social mobility in many
Nordic countries may partly reflect the fact that their societies have
historically been relatively homogenous, reducing the potential
impact of barriers like ethnicity that may restrict social mobility in
other countries.
Data: Charts like this – similar to “the Great Gatsby curve” – suggest that
countries with higher levels of inequality have lower rates of social
mobility.
75 SWE
AUS NZL
70
DEU
65
CHE
ESP
60
55 FRA
ITA
USA
GBR
50
45
20 255 30 30 40
Inequality (Gini points)
How’s life?
Fierce debate
Key themes
More from the OECD: The OECD’s Better Life Index lets users compare
wellbeing across countries based on 11 topics identified as essential in
terms of meeting people’s material needs and ensuring a decent quality
of life, http://www.oecdbetterlifeindex.org/.
Data: People on lower incomes are more likely than those on higher
incomes to report that they have not been able to meet their care needs.
Cost is the most commonly cited obstacle.
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There are a couple of “big ideas” that can help frame any
discussion of the role of education in countering inequality. One is the
idea of equity, which, in turn, is built on two key principles: Fairness,
or ensuring that a person’s own background or circumstances – such
as gender, ethnicity or family situation – are not allowed to limit their
success in education; and inclusion, a broad concept that boils down
to the idea that everybody – regardless of background – should develop
certain basic skills through education (see below). The second big idea
is quality. That means good schools, but it also means overall
education systems that meet the needs of students and that provide
them with a full range of options to meet their individual capacities
and aptitudes.
Equity in education
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Source: OECD (2013), PISA 2012 Results: Excellence Through Equity (Volume II): Giving
Every Student the Chance to Succeed, http://dx.doi.org/10.1787/888932964813.
More from the OECD: Find out what teachers themselves think
of their working conditions and schools with the OECD’s Teaching
and Learning International Survey (TALIS),
http://www.oecd.org/edu/school/talis.htm.
But you don’t need to look into the future to see the cost of
insufficient or outdated skills, both for national economies and
individuals. Nationally, the wage gap between high and low-paid
workers tends to be narrower in countries where skills are more
evenly distributed across the workforce. For individuals, low skill
levels are linked to higher rates of unemployment and lower
incomes. They are also linked to other unwelcome outcomes,
including a greater likelihood of health problems and lower levels of
social engagement (although the cause-and-effect relationship is
not necessarily straightforward).
Developing skills
More from the OECD: The OECD Skills Strategy aims to help
countries create and make the best use of highquality skills,
http://dx.doi.org/10.1787/9789264177338en.
More from the OECD: Find out how young people can get
their working lives off to a good start in the OECD’s Jobs
for Youth project, http://dx.doi.org/10.1787/9789264096127en.
The role of work is brought into even sharper focus when it’s in
short supply, as it has been since in recent years. The impact of the
jobs crisis can be seen in the rise in many OECD countries in the
percentage of people living in “workless” households. In a number of
Eurozone economies – Greece, Ireland and Spain – the percentage of
people living in families where no one is working has doubled
since 2007, while in several other countries it’s up by at least 20%.
Data: After the financial crisis struck, some countries saw rises in the
numbers of people living in households where no one is working.
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Inwork poverty
Specific policies can also help tackle the needs of groups that
are underrepresented in the workforce, including women and young
people, as well as particular groups of workers, like part-timers and
temporary staffers.
Data: The pay gap between women and men is narrowing, but still stands
at around 15 percentage points on average, and is around double that in
some countries.
More from the OECD: The OECD Gender Data Portal is a source
for data on gender inequalities in education, employment and
entrepreneurship, http://www.oecd.org/gender/data.
To ensure even more women can enter the workforce and make
the most of their career options, continued efforts to combat
discrimination and remove barriers to female employment and
career progression will be needed.
all offer “use it or lose it” leave to new fathers. Businesses, too, can
play a role by offering greater flexibility in when – and where –
workers carry out their duties and a more understanding attitude
when parents need to take time off to care for children.
More from the OECD: The state of vocational education and training
is examined in Skills Beyond School,
http://dx.doi.org/10.1787/9789264214682en.
Even if the term may not be in everyday use, tax and transfer
systems are familiar to most people. The “tax” part needs little
explanation, for now; the “transfer” part essentially covers payments
made by the state, such as unemployment and family benefits.
These days, complex tax and transfer systems are a feature of life in
developed – and, increasingly, in developing – countries. They have
many different social and economic objectives, but, from the
perspective of income inequality, the main concern is over how
much they redistribute across society. The extent to which this
happens is determined by three main factors:
➤ Size: Simply, the amount the state takes in taxes and distributes
in transfers.
➤ Mix: Some tax and transfer systems rely more on income taxes
rather than consumption taxes, say, or pay out more in family
benefits than in pensions. This “mix” helps determine overall
redistribution.
Most – but not all – transfers are made through welfare systems,
the roots of which can be traced back to Otto von Bismarck, the 19th
century Prussian statesman. In a speech in 1884, he outlined his
vision of state support: “Give the working man the right to work as
long as he is healthy; assure him care when he is sick; assure him
maintenance when he is old.” The Iron Chancellor was not acting
solely out of benevolence. In that same speech, Bismarck made it
clear that he was mainly interested in curbing the appeal of
socialism. Today’s welfare systems have a broader scope than in
Bismarck’s day, thanks in part to the influence of the “Beveridge
Plan”, a programme designed by Lord Beveridge in the United Kingdom
in 1942 that led to the creation of the first unified social security
system. These days, they can be said to have the following broad
objectives:
Policy approaches
work and help reduce levels of in-work poverty. And the role of
non-cash transfers – such as spending on education and healthcare
– should not be forgotten. Education spending needs to be targeted
in ways to ensure that as many people as possible can access a
high-quality education.
Data: Taxes that affect mainly top earners have gone down.
70
60
50
40
30
20
10
0
1981 1990 2000 2013
Source: OECD (2014), “Focus on Top Incomes and Taxation in OECD Countries: Was
the crisis a game changer?”, http://dx.doi.org/10.1787/888932965953.
Conclusions
What is the future for income inequality? On the face of it, the
outlook is not encouraging. Some of the most important drivers of
inequality look increasingly to be embedded in our economies and
societies. As one OECD paper recently noted, “the growing
importance of skill-biased technological progress for growth and
rising demand for higher skills will lead to continued polarisation of
the wage distribution”. It forecast that by 2060, and without a change
in policy approaches, inequality in the average OECD country will
match that found today in the most unequal countries.
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OECD INSIGHTS
Brian keeley
Brian Keeley
century ago, the average disposable income
between Rich of the richest 10% in OECD countries was
and Poor around seven times higher than that of
the poorest 10%; today, it’s around 9½
times higher. Why does this matter? Many fear
this widening gap is hurting individuals, societies The Gap between Rich and Poor
and even economies. This book explores income
inequality across five main headings. It starts by
explaining some key terms in the inequality debate.
It then examines recent trends and explains why
income inequality varies between countries. Next
it looks at why income gaps are growing and, in
particular, at the rise of the 1%. It then looks at the
consequences, including research that suggests
widening inequality could hurt economic growth.
Finally, it examines policies for addressing inequality
and making economies more inclusive.
INCOME INEQUALITY
Human Capital (2007)
From Crisis to Recovery (2010)
From Aid to Development (2012)
isbn 978-92-64-24600-3
01 2015 39 1 P