Visualizing and Testing Convergence Between Two Income Distributions

John A. Bishop (), K. Victor Chow and Lester A. Zeager
Additional contact information
John A. Bishop: East Carolina University
K. Victor Chow: West Virginia University
Lester A. Zeager: East Carolina University

Journal of Income Distribution, 2010, vol. 19, issue 1, 2-19

Abstract: We use the Interdistributional Lorenz Curves (ILCs) of Butler and McDonald (1987) to visualize convergence or divergence between income distributions. To illustrate the idea, we compare income distributions from Spain, Italy, and Germany. We also offer methods to test for significant differences between the 45-degree line and an ILC, or between ILCs in different years. The tests apply to any partial moment of the distributions and impose no prior restrictions on the functional form of the underlying distribution. We illustrate the statistical inference tests by an application to income distributions for whites and non-whites in the United States.

Keywords: Income distribution; Inequality; Convergence; Interdistributional Lorenz Curves; Statistical inference (search for similar items in EconPapers)
JEL-codes: D31 D63 (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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