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Inequalities of Development Lorenz Curve and Gini Coefficient

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Title: Inequalities of Development Lorenz Curve and Gini Coefficient


1
Inequalities of DevelopmentLorenz Curve and
Gini Coefficient
2
Measurements
3
Measurements of Income Distribution
  • Lorenz Curve
  • A curve showing the proportion of national income
    earned by a given percentage of the population.
  • e.g what proportion of national income is earned
    by the top 10 of the population?

4
Lorenz Curve
of National Income
This line represents the situation if income was
distributed equally. The poorest 10 would earn
10 of national income, the poorest 30 would
earn 30 of national income.
30
10
10
30
Percentage of Population
5
Lorenz Curve
of National Income
In this second example, the Lorenz curve lies
further below the line of equality. Now, the
poorest 30 only earn 7 of the national income.
The Lorenz Curve will show the extent to which
equality exists. The greater the gap between the
line of equality and the curve the greater the
degree of inequality.
In this example, the poorest 30 of the
population earn 20 of the national income.
20
7
Percentage of Population
30
6
Gini Coefficient
  • Enables more precise comparison of Lorenz Curves
  • The proportion of the area taken up by the Lorenz
    Curve in relation to the overall area under the
    line of equality

7
Gini Coefficient
of National Income
The area bounded by the Lorenz Curve
Percentage of Population
8
The Gini Coefficient
Twice the area between the Lorenz curve and the
equality diagonal.
  • Pros
  • Generally regarded as gold standard in economic
    work
  • Incorporates all data
  • Allows direct comparison between units with
    different size populations
  • Attractive intuitive interpretation
  • Cons
  • Requires comprehensive individual level data
  • Requires more sophisticated computations

9
The Lorenz Curve
  • The Lorenz curve represents the distribution of
    income it expresses the relationship between
    cumulative percentage of households and
    cumulative percentage of income.

10
A Hypothetical Lorenz Curve
  • The data in (a) were used to derive the Lorenz
    curve in (b). The Lorenz curve shows the
    cumulative percentage of income earned by the
    cumulative percentage of households. If all
    households received the same percentage of total
    income, the Lorenz curve would be the line of
    perfect income equality. The bowed Lorenz curve
    shows an unequal distribution of income. The
    more bowed the Lorenz curve is, the more unequal
    the distribution of income.

11
Lorenz Curve for the United States, 1998
12
The Gini Coefficient
  • The Gini Coefficient is a measurement of the
    degree of inequality in the income distribution.
  • The Gini Coefficient is equal to the Area between
    line of perfect income equality and the actual
    Lorenz Curve, divided by the Entire Triangular
    are under the line of perfect income equality.
  • A Gini Coefficient of 0 is complete income
    equality while a Gini Coefficient of 1 means
    complete income inequality.

13
A Limitation of the Gini Coefficient
  • The Gini Coefficient cannot tell us what is
    happening in different quintiles.
  • We should not jump to the conclusion that because
    the Gini coefficient is lower in country 2 than
    in country 21, the lowest fifth of households
    have a greater percentage of total income, in
    country 2, than in country 1.

14
A Limitation of the Gini Coefficient
  • By itself the Gini coefficient cannot tell us
    anything about the income share of a particular
    quintile. Although there is a tendency to
    believe that the larger percentage of total
    income the lower the Gini coefficient, this need
    not be the case. In the diagram, the Gini
    coefficient for Lorenz curve 2 is lower than the
    Gini coefficient for Lorenz curve 1. But the
    bottom 20 of households obtains a smaller
    percentage of total income in the lower Gini
    Coefficient case.

15
How evenly spread is the worlds wealth?
Cumulative World Pop' Cumulative Wealth (PPP) Cumulative Wealth (PPP)
  1988 1993
0 0 0
10 0.9 0.8
20 2.3 2
50 9.6 8.5
75 25.9 22.3
85 41 37.1
90 53.1 49.2
95 69.8 66.3
99 91.7 91.5
100 100 100
16
World distribution of wealth (PPP) Lorenz Curve
100
90
80
70
60
50
40
30
20
10










Pop Wealth (PPP) Wealth (PPP)
  1988 1993
0 0 0
10 0.9 0.8
20 2.3 2
50 9.6 8.5
75 25.9 22.3
85 41 37.1
90 53.1 49.2
95 69.8 66.3
99 91.7 91.5
100 100 100
Line of total integration
Cumulative Wealth (PPP)
10 20 30 40 50 60 70 80 90 100
Cumulative Global Population
17
World distribution of wealth Lorenz Curve
100
90
80
70
60
50
40
30
20
10










Pop Wealth (PPP) Wealth (PPP)
  1988 1993
0 0 0
10 0.9 0.8
20 2.3 2
50 9.6 8.5
75 25.9 22.3
85 41 37.1
90 53.1 49.2
95 69.8 66.3
99 91.7 91.5
100 100 100
The richest 10 possessed 46.9 of the world
wealth in 1988.
Line of total integration
Cumulative Wealth (PPP)
10 20 30 40 50 60 70 80 90 100
Cumulative Global Population
18
World distribution of wealth Lorenz Curve
100
90
80
70
60
50
40
30
20
10










Pop Wealth (PPP) Wealth (PPP)
  1988 1993
0 0 0
10 0.9 0.8
20 2.3 2
50 9.6 8.5
75 25.9 22.3
85 41 37.1
90 53.1 49.2
95 69.8 66.3
99 91.7 91.5
100 100 100
The richest 10 possessed 50.8 of the world
wealth in 1993.
Line of total integration
Cumulative Wealth (PPP)
10 20 30 40 50 60 70 80 90 100
Cumulative Global Population
19
World distribution of wealth (PPP) Lorenz Curve
100
90
80
70
60
50
40
30
20
10










Pop Wealth (PPP) Wealth (PPP)
  1988 1993
0 0 0
10 0.9 0.8
20 2.3 2
50 9.6 8.5
75 25.9 22.3
85 41 37.1
90 53.1 49.2
95 69.8 66.3
99 91.7 91.5
100 100 100
Line of total integration
Cumulative Wealth (PPP)
The greater this area the more unequal the
distribution
10 20 30 40 50 60 70 80 90 100
Cumulative Global Population
20
What is a Gini Coefficient?
  • The Gini coefficient, invented by the Italian
    statistitian Corado Gini, is a number between
    zero and one that measures the degree of
    inequality in the distribution of something.
  • The coefficient would register zero (0.0
    minimum inequality) for a society in which each
    member received exactly the same amount.
  • A coefficient of one (1.0 maximum inequality)
    would mean one member got everything and the rest
    got nothing.

21
Calculating the Gini Coefficient
100
90
80
70
60
50
40
30
20
10










Although the Lorenz Curve is good visual
indicator of distribution equality, the Gini
Coefficient provides a clearer quantatitive
value. A / B Gini Values should lie between 0
(total integration) to 1 (total segregation).
B
Line of total integration
Cumulative Wealth (PPP)
A
10 20 30 40 50 60 70 80 90
Cumulative Global Population
22
Tasks
  • Plot Lorenz Curves for 1988 and 1993 data on
    graph paper. Answer
  • Calculate the Gini Coefficient for both. What do
    these tell you about trends in world distribution
    of wealth between 1988 and 1993? Answer
  • Economists estimate that the world's Gini
    coefficient fell to 0.63 in 1998 from 0.66 in
    1970. Plot a graph to show fluctuations over
    time. Answer

Pop Wealth (PPP) Wealth (PPP)
  1988 1993
0 0 0
10 0.9 0.8
20 2.3 2
50 9.6 8.5
75 25.9 22.3
85 41 37.1
90 53.1 49.2
95 69.8 66.3
99 91.7 91.5
100 100 100
23
What are typical Gini Coefficients for countries
around the world?
  • In practice, coefficient values range from around
    0.2 for historically equalitarian countries like
    Bulgaria, Hungary, the Slovak and Czech republics
    and Poland to over 0.6 for Central and South
    American countries (such as Brazil) where
    powerful elites dominate the economy.
  • The evolution of the Gini coefficient is
    particularly useful as it reveals trends. It
    shows the evolution towards greater equality in
    Cuba from 1953 to 1986 (0.55 to 0.22) and the
    growth of inequality in the USA in the last three
    decades during which the Gini went from 0.35 in
    the '70's to 0.40 now (and it is still rising!).
  • Most European countries and Canada rate around
    0.30, Japan and some Asian countries get around
    0.35, some reach 0.40 while most African
    countries exceed 0.45.

Sourcehttp//berclo.net/inden.html
24
  • In 1993 the Gini of the whole world was 0.66
  • In 1988 it was 0.63

BACK
25
  • In 1993 the Gini of the whole world was 0.66
  • In 1988 it was 0.63. The early 1990s saw a
    worrying increase in Global inequalities of
    wealth. However, some experts say that things are
    improving.

BACK
26
World distribution of wealth (PPP) Lorenz Curve
100
90
80
70
60
50
40
30
20
10










Pop Wealth (PPP) Wealth (PPP)
  1988 1993
0 0 0
10 0.9 0.8
20 2.3 2
50 9.6 8.5
75 25.9 22.3
85 41 37.1
90 53.1 49.2
95 69.8 66.3
99 91.7 91.5
100 100 100
Line of total integration
Cumulative Wealth (PPP)
BACK
10 20 30 40 50 60 70 80 90 100
Cumulative Global Population
27
  • The fraction of the world's population below the
    poverty line (defined as an income of 2 a day)
    fell to 19 in 1998 from 41 in 1970 (chart).
  • Overall inequality has decreased as well. the
    world's Gini coefficient fell to 0.63 in 1998
    from 0.66 in 1970.
  • However, there have been fluctuations such as
    that seen in the early 1990s.

BACK
28
A Fairer Future for the World?
  • Global trends for the Gini coefficient of wealth
    can be rather confusing and distorted by the
    rapid growth of large Tiger Economies like China.
  • The gap between the worldss rich and poor has
    never been wider. Malnutrition, AIDS, conflict
    and illiteracy are a daily reality for millions.
    MakePovertyHistory.ORG
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