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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| Format: | Policy Research Working Paper |
| Language: | English |
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World Bank, Washington, DC
2012
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| Online Access: | 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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okr-10986-85192021-04-23T14:02:43Z The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets Francois, Joseph F. Rojas-Romagosa, Hugo 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 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. 2012-06-20T15:20:20Z 2012-06-20T15:20:20Z 2005-10 http://documents.worldbank.org/curated/en/2005/10/6329574/construction-interpretation-combined-cross-section-time-series-inequality-datasets http://hdl.handle.net/10986/8519 English Policy Research Working Paper; No. 3748 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research |
| repository_type |
Digital Repository |
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Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
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 |
| spellingShingle |
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 Francois, Joseph F. Rojas-Romagosa, Hugo The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets |
| relation |
Policy Research Working Paper; No. 3748 |
| description |
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. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Francois, Joseph F. Rojas-Romagosa, Hugo |
| author_facet |
Francois, Joseph F. Rojas-Romagosa, Hugo |
| author_sort |
Francois, Joseph F. |
| title |
The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets |
| title_short |
The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets |
| title_full |
The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets |
| title_fullStr |
The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets |
| title_full_unstemmed |
The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets |
| title_sort |
construction and interpretation of combined cross-section and time-series inequality datasets |
| publisher |
World Bank, Washington, DC |
| publishDate |
2012 |
| url |
http://documents.worldbank.org/curated/en/2005/10/6329574/construction-interpretation-combined-cross-section-time-series-inequality-datasets http://hdl.handle.net/10986/8519 |
| _version_ |
1764407962185498624 |