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The Use of Diversity Analysis to Assess the Relative Influence of Factors Affecting the Income Distribution
Tapan K. Nayak and Joseph L. Gastwirth
Journal of Business & Economic Statistics
Vol. 7, No. 4 (Oct., 1989), pp. 453-460
Stable URL: http://www.jstor.org/stable/1391646
Page Count: 8
You can always find the topics here!Topics: Income inequality, Income distribution, Economic theory, Economic statistics, Statistical discrepancies, Entropy, Sex education, Gini index, Statistical estimation, Equal education
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This article uses diversity measures based on quadratic entropy to analyze the relative effects of factors such as age, sex, and education on the income distribution. In particular, sex appears to be as important as education in explaining the overall income inequality in the data collected by the U.S. Bureau of the Census. An advantage of the diversity measures is that they possess a decomposition of the total inequality into between-group and within-group components. Moreover, analogs of partial association enable one to study the effects of several factors. By using several measures, our inferences are shown to be robust.
Journal of Business & Economic Statistics © 1989 American Statistical Association