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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

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