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The Dynamics Behind Income Inequality
By Lykke E. Andersen*,
La Paz, 19 November 2007.
By international comparisons, income inequality in Latin America
is extremely high. Most Latin American countries have Gini
coefficients in the 0.45 – 0.65 range, while most European
countries fall in the 0.20 – 0.40 range together with China and
India. United States fall in between the two groups with a Gini
coefficient of 0.40 – 0.45, depending on the year
(1).
However, inequality measures by themselves say little about
fairness. Inequality could be perfectly fair if the rich were
rich because they had studied diligently, worked hard, invested
wisely and provided valuable services to their community, while
the poor were poor because they were lazy, selfish or dishonest.
Most often, however, income levels have little to do with effort
and contributions to society. Income levels and living standards
of most people in Latin America today were to a large extent
determined even before they were born, by the socio-economic
status of their parents. Rich parents could give their children
good quality education and intellectual stimulation and
introduce them to other rich people for business and marriage.
In contrast, children of poor parents were stuck with public
education, which often was so bad that they opted out even
before finishing primary school, thus severely limiting future
income generating capacity.
The importance of family background varies widely between
countries, though. Chile, for example, has very high levels of
inequality, but family background is not very important in
explaining this inequality. This means that social mobility in
Chile is high, especially compared to countries like Guatemala,
Brazil, Bolivia, Ecuador and Nicaragua (see Figure 1).
Figure 1: Social Mobility Index based on teenagers (13 – 19
years), late 1990s.
Source:
(2).
High inequality is unfair and bad for economic development if it
is combined with low levels of social mobility. In this case
there is a large gap between poor and rich, and it is very
difficult to cross that gap. The low probabilities of
successfully crossing over from poor to rich, means that most
poor people don’t even bother to try. They don’t feel it is
worth investing in the education of their children, because the
chances of them getting a well-paying job would still be slim,
and they don’t feel it is worth working hard, saving and
investing since it makes little difference in the end.
Similarly, the rich kids have little incentive to study and work
hard, as they were born rich, and their parents have the
connections to secure them a well-paying job even with only a
modest effort. The returns to effort are small in this set-up,
which obviously discourages effort, and thus economic growth.
But if high levels of inequality are combined with high levels
of social mobility, it is a completely different story. In this
case there is still a large gap between rich and poor, but it is
easier to cross the gap (in both directions). This implies large
returns to effort. A poor family which makes the sacrifice to
move to the city and help the children obtain a decent
education, can expect their off-springs to earn life-time
incomes 5-10 times higher than if they had stayed in a rural
village. Rich kids would also have to study seriously and work
hard, as they would have to compete fairly with a lot of highly
motivated people of poorer backgrounds.
A country where everybody has strong incentives to work hard and
invest in higher future incomes is likely to grow much faster
than a country where nobody has incentives to work hard or
invest. In turn, a country which is growing and changing
rapidly, is likely to have higher levels of social mobility, as
existing strong industries and businesses more quickly become
obsolete and have to give way for smaller, cutting edge
industries and firms. This means that a country can enter a
virtuous circle of high social mobility and high growth, or it
can get stuck in a vicious circle of low growth and low social
mobility
(3).
Figure 2 indicates that Guatemala, Nicaragua, Bolivia, Ecuador,
and several other poor Latin American countries may indeed be
stuck in a vicious circle of low growth and low social mobility,
while Argentina, Chile and Uruguay may have entered a virtuous
circle.
Figure 2: Social Mobility and economic development, late 1990s.

Source:
(2). Note: Data from Argentina and Uruguay are from
urban areas only.
In situations of high social mobility, low inequality may
actually be worse than high inequality, as the former situation
limits the returns to effort. Just as in the situation with low
social mobility, outcomes have little to do with effort, which
discourages effort and thus growth.
In summary, the dynamics behind inequality are much more
important than inequality in itself. Governments should strive
to secure equality of opportunity (high social mobility) rather
than equality of outcomes. They should secure level playing
fields, high returns to socially beneficial activities, and
punishment for socially damaging activities, such as crime and
corruption.
Related articles:
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Social Mobility in Bolivia is Finally
Improving!
(*) Director, Institute for Advanced Development Studies, La
Paz, Bolivia. The author happily receives comments at the
following e-mail:
landersen@inesad.edu.bo.
(1) See the
WIDER World Income Inequality Database.
(2) Andersen, Lykke E. (2003) "Social Mobility in Latin America:
Links with Adolescent Schooling" in Duryea, Suzanne, Alejandra
Cox Edwards & Manuelita Ureta (eds.) Critical Decisions at a
Critical Age: Adolescents and Young Adults in
Latin America.
Washington D.C.: Inter-American Development Bank. Chapter 6, pp.
219-247.
(3) See, for example, Raut, L.K. (1996) “Signalling Equilibrium,
Intergenerational Mobility and Long-
Run Growth.” University of Hawaii-Manoa, Draft, February and
Hassler, J., J.V. Rodríguez Mora (1998) “IQ, Social Mobility and
Growth.“ Institute for International Economic Studies, Stockholm
University, Seminar Papers No. 635, January.
Ó
Institute for Advanced Development Studies 2006.
The opinions expressed in this newsletter are those of the
author and do not necessarily coincide with those of the Institute.
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