Appraising Cross-National Income Inequality Databases : An Introduction
In response to a growing interest in comparing inequality levels and trends across countries, several cross-national inequality databases are now available. These databases differ considerably in purpose, coverage, data sources, inclusion and exclu...
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World Bank, Washington, DC
2015
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Online Access: | http://documents.worldbank.org/curated/en/2015/11/25384034/appraising-cross-national-income-inequality-databases-introduction http://hdl.handle.net/10986/23451 |
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English en_US |
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HOUSEHOLD INCOMES HARMONIZATION CONSUMPTION EXPENDITURES IMPUTATIONS POVERTY LINE INEQUALITY DYNAMICS DISPOSABLE INCOME DATA CENTER INEQUALITY INDICATORS INCOME INCREASING INEQUALITY INDIVIDUAL COUNTRIES POVERTY ESTIMATES TAXONOMY MARKET INCOME ABBREVIATIONS INEQUALITY INDEX ECONOMIC REVIEW INFORMATION DEVELOPING COUNTRIES INCOME STUDY MULTIPLE IMPUTATIONS MEASUREMENT ERRORS MULTIPLE IMPUTATION RESEARCHER POLICY DISCUSSIONS REGRESSION ANALYSES COUNTRY REGRESSIONS AVERAGE INEQUALITY DISCLOSURE BINDING INDICES DISPOSABLE INCOME INEQUALITY OPEN ACCESS CLASSIFICATIONS INCOME INEQUALITY DATA ADVANCED COUNTRIES INSTITUTIONS TIME PERIODS EARNINGS INEQUALITY DATA INEQUALITY LEVELS INEQUALITY OBSERVATIONS CROSS-COUNTRY INEQUALITY DEVELOPMENT ECONOMICS DOCUMENT ENTRIES INEQUALITY MEASURES INCOME INEQUALITY ADMINISTRATIVE RECORDS ARTICLES CROSS-COUNTRY REGRESSION CASES DOCUMENTS HOUSEHOLD INCOME SECONDARY SOURCES STANDARDIZATION HOUSEHOLD SURVEYS WEBSITES RESEARCH INCOME LEVELS STANDARDS PRODUCT INEQUALITY TRENDS ARTICLE DATABASES CLASSIFICATION CAPABILITIES GOVERNMENT SERVICES PUBLISHING COUNTRY REPORTS INCOME DATA USERS READING CONSUMPTION RELIABILITY COUNTRY LEVEL INEQUALITY ESTIMATES INSPECTION SOFTWARE PUBLIC EXPENDITURE BEST PRACTICES RESULTS IMPUTATION METHODS INEQUALITY SERIES DESCRIPTION INCOME DISTRIBUTIONS PURCHASING POWER MARKET INCOME INEQUALITY POLITICAL SCIENCE INDEX INEQUALITY DATA INCOME DISTRIBUTION RESEARCHERS INCOME COMPONENTS INCOMES SOCIAL SCIENCE MEMBER COUNTRIES RELATIVE POVERTY CASE INEQUALITY MEASURE REGRESSION ANALYSIS ECONOMIC INEQUALITY RESULT DATA SETS CONCEPT GROSS INCOME DATA SET OBJECT SERVERS REDISTRIBUTIVE IMPACT MEASURING INCOME INEQUALITY IMPUTATION GINI COEFFICIENT DISTRIBUTIONAL IMPACT INSTITUTION STANDARD DATABASE PRODUCERS ACRONYM WEBSITE POLICY RESEARCH INCOME REDISTRIBUTION INTERNATIONAL PROJECT CONCEPTS DATABASE MARKET INCOMES DECLINING INEQUALITY POVERTY ANALYSIS MISSING DATA USER INEQUALITY STORAGE PUBLIC GOODS NEGATIVE CORRELATION |
spellingShingle |
HOUSEHOLD INCOMES HARMONIZATION CONSUMPTION EXPENDITURES IMPUTATIONS POVERTY LINE INEQUALITY DYNAMICS DISPOSABLE INCOME DATA CENTER INEQUALITY INDICATORS INCOME INCREASING INEQUALITY INDIVIDUAL COUNTRIES POVERTY ESTIMATES TAXONOMY MARKET INCOME ABBREVIATIONS INEQUALITY INDEX ECONOMIC REVIEW INFORMATION DEVELOPING COUNTRIES INCOME STUDY MULTIPLE IMPUTATIONS MEASUREMENT ERRORS MULTIPLE IMPUTATION RESEARCHER POLICY DISCUSSIONS REGRESSION ANALYSES COUNTRY REGRESSIONS AVERAGE INEQUALITY DISCLOSURE BINDING INDICES DISPOSABLE INCOME INEQUALITY OPEN ACCESS CLASSIFICATIONS INCOME INEQUALITY DATA ADVANCED COUNTRIES INSTITUTIONS TIME PERIODS EARNINGS INEQUALITY DATA INEQUALITY LEVELS INEQUALITY OBSERVATIONS CROSS-COUNTRY INEQUALITY DEVELOPMENT ECONOMICS DOCUMENT ENTRIES INEQUALITY MEASURES INCOME INEQUALITY ADMINISTRATIVE RECORDS ARTICLES CROSS-COUNTRY REGRESSION CASES DOCUMENTS HOUSEHOLD INCOME SECONDARY SOURCES STANDARDIZATION HOUSEHOLD SURVEYS WEBSITES RESEARCH INCOME LEVELS STANDARDS PRODUCT INEQUALITY TRENDS ARTICLE DATABASES CLASSIFICATION CAPABILITIES GOVERNMENT SERVICES PUBLISHING COUNTRY REPORTS INCOME DATA USERS READING CONSUMPTION RELIABILITY COUNTRY LEVEL INEQUALITY ESTIMATES INSPECTION SOFTWARE PUBLIC EXPENDITURE BEST PRACTICES RESULTS IMPUTATION METHODS INEQUALITY SERIES DESCRIPTION INCOME DISTRIBUTIONS PURCHASING POWER MARKET INCOME INEQUALITY POLITICAL SCIENCE INDEX INEQUALITY DATA INCOME DISTRIBUTION RESEARCHERS INCOME COMPONENTS INCOMES SOCIAL SCIENCE MEMBER COUNTRIES RELATIVE POVERTY CASE INEQUALITY MEASURE REGRESSION ANALYSIS ECONOMIC INEQUALITY RESULT DATA SETS CONCEPT GROSS INCOME DATA SET OBJECT SERVERS REDISTRIBUTIVE IMPACT MEASURING INCOME INEQUALITY IMPUTATION GINI COEFFICIENT DISTRIBUTIONAL IMPACT INSTITUTION STANDARD DATABASE PRODUCERS ACRONYM WEBSITE POLICY RESEARCH INCOME REDISTRIBUTION INTERNATIONAL PROJECT CONCEPTS DATABASE MARKET INCOMES DECLINING INEQUALITY POVERTY ANALYSIS MISSING DATA USER INEQUALITY STORAGE PUBLIC GOODS NEGATIVE CORRELATION Ferreira, Francisco H. G. Lustig, Nora Teles, Daniel Appraising Cross-National Income Inequality Databases : An Introduction |
relation |
Policy Research Working Paper;No. 7489 |
description |
In response to a growing interest in
comparing inequality levels and trends across countries,
several cross-national inequality databases are now
available. These databases differ considerably in purpose,
coverage, data sources, inclusion and exclusion criteria,
and quality of documentation. A special issue of the Journal
of Economic Inequality, which this paper introduces, is
devoted to an assessment of the merits and shortcomings of
eight such databases. Five of these sets are
microdata-based: CEPALSTAT, Income Distribution Database,
Luxembourg Income Study, PovcalNet, and Socio-Economic
Database for Latin America and the Caribbean. Two are based
on secondary sources: All the Ginis and the World Income
Inequality Database; and one is generated entirely through
multiple-imputation methods: the Standardized World Income
Inequality Database. Although there is much agreement across
these databases, there is also a nontrivial share of
country/year cells for which substantial discrepancies
exist. In some cases, different databases would lead users
to radically different conclusions about inequality dynamics
in certain countries and periods. The methodological
differences that lead to these discrepancies often appear to
be driven by a fundamental trade-off between a wish for
broader coverage on the one hand, and for greater
comparability on the other hand. These differences across
databases place considerable responsibility on both
producers and users: on the former, to better document and
explain their assumptions and procedures, and on the latter,
to understand the data they are using, rather than merely
taking them as true because available. |
format |
Working Paper |
author |
Ferreira, Francisco H. G. Lustig, Nora Teles, Daniel |
author_facet |
Ferreira, Francisco H. G. Lustig, Nora Teles, Daniel |
author_sort |
Ferreira, Francisco H. G. |
title |
Appraising Cross-National Income Inequality Databases : An Introduction |
title_short |
Appraising Cross-National Income Inequality Databases : An Introduction |
title_full |
Appraising Cross-National Income Inequality Databases : An Introduction |
title_fullStr |
Appraising Cross-National Income Inequality Databases : An Introduction |
title_full_unstemmed |
Appraising Cross-National Income Inequality Databases : An Introduction |
title_sort |
appraising cross-national income inequality databases : an introduction |
publisher |
World Bank, Washington, DC |
publishDate |
2015 |
url |
http://documents.worldbank.org/curated/en/2015/11/25384034/appraising-cross-national-income-inequality-databases-introduction http://hdl.handle.net/10986/23451 |
_version_ |
1764453877584756736 |
spelling |
okr-10986-234512021-04-23T14:04:15Z Appraising Cross-National Income Inequality Databases : An Introduction Ferreira, Francisco H. G. Lustig, Nora Teles, Daniel HOUSEHOLD INCOMES HARMONIZATION CONSUMPTION EXPENDITURES IMPUTATIONS POVERTY LINE INEQUALITY DYNAMICS DISPOSABLE INCOME DATA CENTER INEQUALITY INDICATORS INCOME INCREASING INEQUALITY INDIVIDUAL COUNTRIES POVERTY ESTIMATES TAXONOMY MARKET INCOME ABBREVIATIONS INEQUALITY INDEX ECONOMIC REVIEW INFORMATION DEVELOPING COUNTRIES INCOME STUDY MULTIPLE IMPUTATIONS MEASUREMENT ERRORS MULTIPLE IMPUTATION RESEARCHER POLICY DISCUSSIONS REGRESSION ANALYSES COUNTRY REGRESSIONS AVERAGE INEQUALITY DISCLOSURE BINDING INDICES DISPOSABLE INCOME INEQUALITY OPEN ACCESS CLASSIFICATIONS INCOME INEQUALITY DATA ADVANCED COUNTRIES INSTITUTIONS TIME PERIODS EARNINGS INEQUALITY DATA INEQUALITY LEVELS INEQUALITY OBSERVATIONS CROSS-COUNTRY INEQUALITY DEVELOPMENT ECONOMICS DOCUMENT ENTRIES INEQUALITY MEASURES INCOME INEQUALITY ADMINISTRATIVE RECORDS ARTICLES CROSS-COUNTRY REGRESSION CASES DOCUMENTS HOUSEHOLD INCOME SECONDARY SOURCES STANDARDIZATION HOUSEHOLD SURVEYS WEBSITES RESEARCH INCOME LEVELS STANDARDS PRODUCT INEQUALITY TRENDS ARTICLE DATABASES CLASSIFICATION CAPABILITIES GOVERNMENT SERVICES PUBLISHING COUNTRY REPORTS INCOME DATA USERS READING CONSUMPTION RELIABILITY COUNTRY LEVEL INEQUALITY ESTIMATES INSPECTION SOFTWARE PUBLIC EXPENDITURE BEST PRACTICES RESULTS IMPUTATION METHODS INEQUALITY SERIES DESCRIPTION INCOME DISTRIBUTIONS PURCHASING POWER MARKET INCOME INEQUALITY POLITICAL SCIENCE INDEX INEQUALITY DATA INCOME DISTRIBUTION RESEARCHERS INCOME COMPONENTS INCOMES SOCIAL SCIENCE MEMBER COUNTRIES RELATIVE POVERTY CASE INEQUALITY MEASURE REGRESSION ANALYSIS ECONOMIC INEQUALITY RESULT DATA SETS CONCEPT GROSS INCOME DATA SET OBJECT SERVERS REDISTRIBUTIVE IMPACT MEASURING INCOME INEQUALITY IMPUTATION GINI COEFFICIENT DISTRIBUTIONAL IMPACT INSTITUTION STANDARD DATABASE PRODUCERS ACRONYM WEBSITE POLICY RESEARCH INCOME REDISTRIBUTION INTERNATIONAL PROJECT CONCEPTS DATABASE MARKET INCOMES DECLINING INEQUALITY POVERTY ANALYSIS MISSING DATA USER INEQUALITY STORAGE PUBLIC GOODS NEGATIVE CORRELATION In response to a growing interest in comparing inequality levels and trends across countries, several cross-national inequality databases are now available. These databases differ considerably in purpose, coverage, data sources, inclusion and exclusion criteria, and quality of documentation. A special issue of the Journal of Economic Inequality, which this paper introduces, is devoted to an assessment of the merits and shortcomings of eight such databases. Five of these sets are microdata-based: CEPALSTAT, Income Distribution Database, Luxembourg Income Study, PovcalNet, and Socio-Economic Database for Latin America and the Caribbean. Two are based on secondary sources: All the Ginis and the World Income Inequality Database; and one is generated entirely through multiple-imputation methods: the Standardized World Income Inequality Database. Although there is much agreement across these databases, there is also a nontrivial share of country/year cells for which substantial discrepancies exist. In some cases, different databases would lead users to radically different conclusions about inequality dynamics in certain countries and periods. The methodological differences that lead to these discrepancies often appear to be driven by a fundamental trade-off between a wish for broader coverage on the one hand, and for greater comparability on the other hand. These differences across databases place considerable responsibility on both producers and users: on the former, to better document and explain their assumptions and procedures, and on the latter, to understand the data they are using, rather than merely taking them as true because available. 2015-12-18T20:21:28Z 2015-12-18T20:21:28Z 2015-11 Working Paper http://documents.worldbank.org/curated/en/2015/11/25384034/appraising-cross-national-income-inequality-databases-introduction http://hdl.handle.net/10986/23451 English en_US Policy Research Working Paper;No. 7489 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 |