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The Atkinson index is an inequality measure and is useful in determining which end of the distribution contributed most to the observed inequality.
Atkinson(x, n = rep(1, length(x)), parameter = 0.5, na.rm = FALSE)
a vector containing at least non-negative elements.
a vector of frequencies, must be same length as x.
parameter of the inequality measure (if set to NULL the default parameter of the respective measure is used).
NULL
logical. Should missing values be removed? Defaults to FALSE.
the value of the Akinson Index.
Cowell, F. A. (2000) Measurement of Inequality in Atkinson, A. B. / Bourguignon, F. (Eds): Handbook of Income Distribution. Amsterdam.
Cowell, F. A. (1995) Measuring Inequality Harvester Wheatshef: Prentice Hall.
Marshall, Olkin (1979) Inequalities: Theory of Majorization and Its Applications. New York: Academic Press.
See Herfindahl, Rosenbluth for concentration measures and ineq() in the package ineq for additional inequality measures
Herfindahl
Rosenbluth
ineq()
# NOT RUN { # generate vector (of incomes) x <- c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261) # compute Atkinson coefficient with parameter=0.5 Atkinson(x, parameter=0.5) # }
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