Decomposing Household Income by Source and Subgroup - Alex Eble
Decomposing Household Income by Source and Subgroup - Alex Eble
Decomposing Household Income by Source and Subgroup - Alex Eble
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<strong>Decomposing</strong> <strong>Household</strong> <strong>Income</strong> <strong>by</strong> <strong>Source</strong> <strong>and</strong> <strong>Subgroup</strong><br />
III. Theil’s T<br />
Theil’s T index, the member of the general entropy family of inequality indices<br />
corresponding to = 1, is the sum of each individual’s contribution to total inequality.<br />
Theil’s T index weights a data point’s (individual’s) population share <strong>and</strong> distance<br />
from the mean through the following equation:<br />
T<br />
<br />
<br />
1 <br />
<br />
n<br />
p<br />
p<br />
<br />
* * ln<br />
<br />
<br />
p1 n y y <br />
<br />
y<br />
<br />
In this index, a data point gives a contribution to the overall index based on a<br />
decreasing function of the probability of its occurrence. In other words, given a<br />
normal distribution, the further from the mean an individual’s income is the greater is<br />
that individual’s contribution to the inequality index. (Theil 1967)<br />
Another interesting characteristic is Theil’s T’s non-linearity. As the richest half of the<br />
population’s share of income increases linearly Theil’s T index increases at a more<br />
than linear rate. This phenomenon is due to the decreasing nature of the negative<br />
contribution to overall inequality. When there is total equality in the group, Theil’s T<br />
reaches its minimum, zero. (Conceição <strong>and</strong> Ferreira, 2000) 3<br />
According to scholars at the University of Texas Inequality Project, (UTIP) a think<br />
tank focusing primarily on the measure <strong>and</strong> analysis of inequality, the main advantage<br />
of Theil’s T index is the facility with which it decomposes inequality into between <strong>and</strong><br />
within group components. Another strength of Theil’s T is its capacity to analyze<br />
inequality from aggregated data is this manner. Several other indices, including the<br />
Gini Coefficient <strong>and</strong> the CV, require comprehensive individual-level data which is<br />
often unavailable to social scientists. (UTIP 2005) Sicular <strong>and</strong> Morduch (2002)<br />
show that Theil’s T index can also readily be decomposed among factor incomes. A<br />
prior complaint about Theil’s T was that due to its logarithmic nature, it would be<br />
undefined under negative <strong>and</strong> zero incomes. Sicular <strong>and</strong> Morduch show that Theil’s T<br />
can be decomposed for income components <strong>and</strong> furthermore that Theil’s T is in fact<br />
defined for zero <strong>and</strong> negative factor income values in the following equation:<br />
s<br />
k<br />
TT<br />
1<br />
n<br />
<br />
1<br />
n<br />
n<br />
<br />
p1<br />
n<br />
<br />
p1<br />
<br />
<br />
y<br />
<br />
y p <br />
ln<br />
<br />
<br />
<br />
y<br />
<br />
<br />
y p <br />
ln<br />
<br />
<br />
<br />
y<br />
<br />
<br />
They go on to laud the benefits of Theil’s T as compared to other more frequently<br />
used inequality measures: “The Gini coefficient falls if an income source is increased<br />
<strong>by</strong> a constant amount for all members of a population”, a desirable characteristic, “but<br />
none of the components of the st<strong>and</strong>ard decomposition of the Gini are affected,”<br />
ignoring what we hope to measure as a decrease in income inequality for the given<br />
3 For graphical representation of this phenomenon, please also refer to Conceição <strong>and</strong> Ferreira, 2000.<br />
k<br />
p<br />
p<br />
<br />
(2)<br />
(3)<br />
3