The Construction And Interpretation of Combined Cross-Section And Time-Series Inequality Datasets

The inequality dataset compiled in the 1990s by the World Bank and extended by the United Nations has been both widely used and strongly criticized. The criticisms raise questions about conclusions drawn from secondary inequality datasets in general. The authors develop techniques to deal with natio...

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Bibliographic Details
Main Author: Francois, Joseph F.
Other Authors: Rojas-Romagosa, Hugo
Format: eBook
Language:English
Published: Washington, D.C The World Bank 2005
Subjects:
Online Access:
Collection: World Bank E-Library Archive - Collection details see MPG.ReNa
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100 1 |a Francois, Joseph F. 
245 0 0 |a The Construction And Interpretation of Combined Cross-Section And Time-Series Inequality Datasets  |h Elektronische Ressource  |c Francois, Joseph F 
260 |a Washington, D.C  |b The World Bank  |c 2005 
300 |a 67 p. 
653 |a Macroeconomics and Economic Growth 
653 |a Income 
653 |a Gini Coefficient 
653 |a Information Security and Privacy 
653 |a Poverty Impact Evaluation 
653 |a Social Protections and Labor 
653 |a Cross-Country Inequality 
653 |a Explaining Inequality 
653 |a Economic Policy 
653 |a Inequality 
653 |a Income Study 
653 |a Poverty Reduction 
653 |a Services and Transfers to Poor 
653 |a Data Quality 
653 |a Income Distribution 
653 |a Economic Theory and Research 
653 |a Developing Countries 
653 |a Income Inequality 
700 1 |a Rojas-Romagosa, Hugo 
700 1 |a Francois, Joseph F. 
041 0 7 |a eng  |2 ISO 639-2 
989 |b WOBA  |a World Bank E-Library Archive 
856 4 0 |u http://elibrary.worldbank.org/content/workingpaper/10.1596/1813-9450-3748  |x Verlag  |3 Volltext 
082 0 |a 330 
520 |a The inequality dataset compiled in the 1990s by the World Bank and extended by the United Nations has been both widely used and strongly criticized. The criticisms raise questions about conclusions drawn from secondary inequality datasets in general. The authors 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 them to explore problems of measurement error. In addition, the new data allow the authors to perform parametric non-linear estimation of Lorenz curves from grouped data. This in turn allows them to estimate the entire income distribution, computing alternative inequality indexes and poverty estimates. Finally, the authors use their broadly comparable dataset to examine international patterns of inequality and poverty