Asked by mat
In the below table, which country has the least equal distribution of income? The most equal distribution?
Percent of Income
Quintile A B C
20 8.5 10.2 2.3
40 10.1 15.2 6.1
60 12.5 18.3 12.3
80 15.1 23.1 18.1
100 53.8 33.2 61.2
Percent of Income
Quintile A B C
20 8.5 10.2 2.3
40 10.1 15.2 6.1
60 12.5 18.3 12.3
80 15.1 23.1 18.1
100 53.8 33.2 61.2
Answers
Answered by
GuruBlue
If you tried to copy/paste.... it didn't come through.
Answered by
mat
Percent of Income
Quintile A B C
20 8.5 10.2 2.3
40 10.1 15.2 6.1
60 12.5 18.3 12.3
80 15.1 23.1 18.1
100 53.8 33.2 61.2
Quintile A B C
20 8.5 10.2 2.3
40 10.1 15.2 6.1
60 12.5 18.3 12.3
80 15.1 23.1 18.1
100 53.8 33.2 61.2
Answered by
mat
In the below table, which country has the least equal distribution of income? The most equal distribution?
Percent of Income
Quintile A B C
20 8.5 10.2 2.3
40 10.1 15.2 6.1
60 12.5 18.3 12.3
80 15.1 23.1 18.1
100 53.8 33.2 61.2
Percent of Income
Quintile A B C
20 8.5 10.2 2.3
40 10.1 15.2 6.1
60 12.5 18.3 12.3
80 15.1 23.1 18.1
100 53.8 33.2 61.2
Answered by
economyst
First, I suggest you do a little research on lorenz curves and gini coefficients. Here is a start:
http://en.wikipedia.org/wiki/Lorenz_curve
To solve this problem, first convert your percent distributions into cumulative percent distributions. So, for example, the values for series A would be 8.8. 18.6, 31.1, 46.2, 100.0
Next graph your three series; these are lorenz cuvers. The curve that is closest to a 45-degree line is represents the most equal distribution; The most equitable is series B, the least equitale is series C.
http://en.wikipedia.org/wiki/Lorenz_curve
To solve this problem, first convert your percent distributions into cumulative percent distributions. So, for example, the values for series A would be 8.8. 18.6, 31.1, 46.2, 100.0
Next graph your three series; these are lorenz cuvers. The curve that is closest to a 45-degree line is represents the most equal distribution; The most equitable is series B, the least equitale is series C.
Answered by
mat
thank you very much!
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