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.
Détails bibliographiques
| Auteurs principaux: |
Francois, Joseph F.,
Rojas-Romagosa, Hugo |
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| Format: | Policy Research Working Paper
biblioteca
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| Langue: | English |
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| Publié: |
World Bank, Washington, DC
2005-10
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| Sujets: | ABSOLUTE DIFFERENCE,
CROSS-COUNTRY ANALYSIS,
CROSS-COUNTRY INEQUALITY,
DATA QUALITY,
DATA SETS,
DEMOGRAPHIC FACTORS,
DEVELOPING COUNTRIES,
DIVIDENDS,
ECONOMIC INFORMATION,
ECONOMIC POLICY,
EMPIRICAL RESEARCH,
EMPIRICAL RESULTS,
EMPIRICAL STUDIES,
EXPLAINING INEQUALITY,
EXPLANATORY VARIABLES,
GINI COEFFICIENT,
GROSS,
GROSS INCOME,
HOUSEHOLD INCOME,
HOUSEHOLD SURVEYS,
INCOME,
INCOME CONCEPTS,
INCOME DATA,
INCOME DISTRIBUTION,
INCOME INEQUALITY,
INCOME SHARE,
INCOME SMOOTHING,
INCOME SOURCES,
INCOME STUDY,
INCOMES,
INDUSTRIALIZATION,
INEQUALITY,
INEQUALITY DATA,
INEQUALITY LEVELS,
INEQUALITY MEASUREMENT,
INEQUALITY MEASURES,
INEQUALITY OBSERVATIONS,
INEQUALITY PATTERN,
INEQUALITY RESULTS,
INEQUALITY SERIES,
INEQUALITY TRENDS,
INEQUALITY VALUES,
INSURANCE,
INTERNATIONAL COMPARABILITY,
LIVING STANDARDS,
LORENZ CURVE,
MACROECONOMIC VARIABLES,
MEASUREMENT ERROR,
MEASUREMENT ERRORS,
MEASUREMENT PROBLEMS,
NATIONAL SURVEYS,
NEGATIVE CORRELATION,
NET INCOME,
0 HYPOTHESIS,
POLICY RESEARCH,
POOR,
POOR COUNTRIES,
POSITIVE CORRELATION,
POVERTY ESTIMATES,
POVERTY RATES,
QUALITY CONTROL,
REDISTRIBUTION POLICIES,
SIGNIFICANCE LEVEL,
SIGNIFICANT IMPACT,
TIME SERIES, |
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| Accès en ligne: | http://documents.worldbank.org/curated/en/2005/10/6329574/construction-interpretation-combined-cross-section-time-series-inequality-datasets
http://hdl.handle.net/10986/8519
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