The inequality dataset compiled in the 1990s by the World Bank and extended by the UN has been both widely used and strongly criticized. The criticisms raise questions about conclusions drawn from secondary inequality datasets in general. We develop techniques to deal with national and international comparability problems intrinsic to such datasets. The result is a new dataset of consistent inequality series, allowing us to explore problems of measurement error. In addition, the new data allow us to perform parametric non-linear estimation of Lorenz curves from grouped data. This in turn allows us to estimate the entire income distribution, computing alternative inequality indexes and poverty estimates. Finally, we have used our broadly comparable dataset to examine international patterns of inequality and poverty.
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Paper provided by Institue for International and Development Economics in its series IIDE Discussion Papers with number
20070805.
Find related papers by JEL classification: D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Shorrocks, Anthony F, 1983.
"Ranking Income Distributions,"
Economica,
London School of Economics and Political Science, vol. 50(197), pages 3-17, February.
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