A Unified Approach to Measuring Poverty and Inequality

Page 81

Chapter 2: Income Standards, Inequality, and Poverty

a parameter denoted by a, which can take any value between − ∞ and + ∞. Unlike the quantile means and the partial means, general means take into account the entire income distribution, but emphasize lower or higher incomes depending on the value of a. Parameter a is familiar in the literature as the order of general means. For income distribution x, we denote the general mean of order a by WGM(x; a). It is defined as ⎧⎛ x a + x a + …+ x a ⎞ 1a N 1 2 ⎪⎪⎜ ⎟⎠ if a ≠ 0. N WGM (x; a ) = ⎨⎝ ⎪ 1 ⎪⎩(x1 × x 2 × …× x N ) N if a = 0

(2.3)

Although a may take any value between − ∞ and + ∞, four means in this family are more well known than others: arithmetic mean, geometric mean, harmonic mean, and Euclidean mean. • For a = 1, WGM is known as the arithmetic mean (denoted by WA) or the average x¯ of all elements in x and can be written as5 WA (x) =

x1 + x 2 + L + x N . N

(2.4)

• For a = 0, WGM becomes the geometric mean (denoted by WG) of all elements in distribution x and can be expressed as WG(x) = (x1 × x2 × ... × xN)1/N.

(2.5)

If we take a natural logarithm on both sides of equation (2.5), we find WL (x) = ln WG (x) =

ln x1 + ln x 2 + L + ln x N . N

(2.6)

WL(x) is the average of the logarithm of all incomes in distribution x. The logarithm of incomes is frequently used for various analyses by labor economists. • For a = –1, WGM becomes the harmonic mean (WH) of distribution x and can be expressed as −1

⎛ x −1 + x 2−1 + L + x N−1 ⎞ WH (x) = ⎜ 1 ⎟⎠ . N ⎝

(2.7)

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