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International Comparisons of Income Inequality: Tests for Lorenz Dominance across Nine Countries

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Author Info
Bishop, John A
Formby, John P
Smith, W James
Abstract

This paper examines income inequality across nine countries using the Luxembourg Income Study data set. New statistical tests and comparability of data provide an exceptionally clear picture of relative income inequality. Only 4 comparisons out of a possible 108 cannot be ranked. In most cases, differences in the definition of the recipient unit make little difference in the rankings. Irrespective of recipient units, Sweden, Norway, and Germany come out at the top of the ordinal Lorenz ranking, with Australia, Canada, and the United Kingdom in the middle, and the United States and Switzerland at the bottom. Copyright 1991 by The London School of Economics and Political Science.

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Publisher Info
Article provided by London School of Economics and Political Science in its journal Economica.

Volume (Year): 58 (1991)
Issue (Month): 232 (November)
Pages: 461-77
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Handle: RePEc:bla:econom:v:58:y:1991:i:232:p:461-77

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  1. Frank A Cowell & Maria-Pia Victoria-Feser, 1998. "Statistical Inference for Lorenz Curves with Censored Data," STICERD - Distributional Analysis Research Programme Papers 35, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
  2. John Bishop & K. Chow & John Formby & Chih-Chin Ho, 1997. "Did Tax Reform Reduce Actual US Progressivity? Evidence from the Taxpayer Compliance Measurement Program," International Tax and Public Finance, Springer, vol. 4(2), pages 177-197, May. [Downloadable!] (restricted)
  3. Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2009. "Measuring inequality using Censored data: A multiple imputation approach," Working Papers 108, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
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  4. Stephen G. Donald & Garry F. Barrett, 2004. "Consistent Nonparametric Tests for Lorenz Dominance," Econometric Society 2004 Australasian Meetings 321, Econometric Society. [Downloadable!]
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