Standardizing the World Income Inequality Database
Objective. Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality data sets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across...
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| Veröffentlicht in: | Social science quarterly 2009-06, Vol.90 (2), p.231-242 |
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| creator | Solt, Frederick |
| description | Objective. Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality data sets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to overcome these limitations. Methods. A custom missing-data algorithm was used to standardize the U.N. University's World Income Inequality Database; data collected by the Luxembourg Income Study served as the standard. Results. The SWIID provides comparable Gini indices of gross and net income inequality for 153 countries for as many years as possible from 1960 to the present, along with estimates of uncertainty in these statistics. Conclusions. By maximizing comparability for the largest possible sample of countries and years, the SWIID is better suited to broad cross-national research on income inequality than previously available sources. |
| doi_str_mv | 10.1111/j.1540-6237.2009.00614.x |
| format | Article |
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Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality data sets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to overcome these limitations. Methods. A custom missing-data algorithm was used to standardize the U.N. University's World Income Inequality Database; data collected by the Luxembourg Income Study served as the standard. Results. The SWIID provides comparable Gini indices of gross and net income inequality for 153 countries for as many years as possible from 1960 to the present, along with estimates of uncertainty in these statistics. Conclusions. By maximizing comparability for the largest possible sample of countries and years, the SWIID is better suited to broad cross-national research on income inequality than previously available sources.</description><identifier>ISSN: 0038-4941</identifier><identifier>EISSN: 1540-6237</identifier><identifier>DOI: 10.1111/j.1540-6237.2009.00614.x</identifier><identifier>CODEN: SSQTAL</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Algorithms ; Certainty ; Comparative Analysis ; Correlations ; Countries ; Cross-national analysis ; Crosscultural Differences ; Crossnational Differences ; Datasets ; Economic sociology ; Gini coefficient ; Gross domestic product ; Gross income ; History, theory and methodology ; Income Inequality ; Indexes (Measures) ; Information science ; Methodological Problems ; Methodology ; Net income ; Observational research ; Of General Interest ; Political Economy ; Social sciences ; Socioeconomic factors ; Sociology ; Sociology of economy and development ; Standard error ; Standard of living. Income ; Statistics ; Studies</subject><ispartof>Social science quarterly, 2009-06, Vol.90 (2), p.231-242</ispartof><rights>2009 Southwestern Social Science Association</rights><rights>2009 by the Southwestern Social Science Association</rights><rights>2009 INIST-CNRS</rights><rights>Copyright Blackwell Publishing Ltd. Jun 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7374-e46dd9af70cc6479f8fa9ec9aa647113ee0ecb6f215cb8e3a4bfa76d007543b93</citedby><cites>FETCH-LOGICAL-c7374-e46dd9af70cc6479f8fa9ec9aa647113ee0ecb6f215cb8e3a4bfa76d007543b93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/42940584$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/42940584$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,1411,3994,27901,27902,33751,33752,45550,45551,57992,58225</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21519288$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/blasocsci/v_3a90_3ay_3a2009_3ai_3a2_3ap_3a231-242.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Solt, Frederick</creatorcontrib><title>Standardizing the World Income Inequality Database</title><title>Social science quarterly</title><description>Objective. Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality data sets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to overcome these limitations. Methods. A custom missing-data algorithm was used to standardize the U.N. University's World Income Inequality Database; data collected by the Luxembourg Income Study served as the standard. Results. The SWIID provides comparable Gini indices of gross and net income inequality for 153 countries for as many years as possible from 1960 to the present, along with estimates of uncertainty in these statistics. Conclusions. By maximizing comparability for the largest possible sample of countries and years, the SWIID is better suited to broad cross-national research on income inequality than previously available sources.</description><subject>Algorithms</subject><subject>Certainty</subject><subject>Comparative Analysis</subject><subject>Correlations</subject><subject>Countries</subject><subject>Cross-national analysis</subject><subject>Crosscultural Differences</subject><subject>Crossnational Differences</subject><subject>Datasets</subject><subject>Economic sociology</subject><subject>Gini coefficient</subject><subject>Gross domestic product</subject><subject>Gross income</subject><subject>History, theory and methodology</subject><subject>Income Inequality</subject><subject>Indexes (Measures)</subject><subject>Information science</subject><subject>Methodological Problems</subject><subject>Methodology</subject><subject>Net income</subject><subject>Observational research</subject><subject>Of General Interest</subject><subject>Political Economy</subject><subject>Social sciences</subject><subject>Socioeconomic factors</subject><subject>Sociology</subject><subject>Sociology of economy and development</subject><subject>Standard error</subject><subject>Standard of living. Income</subject><subject>Statistics</subject><subject>Studies</subject><issn>0038-4941</issn><issn>1540-6237</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>7UB</sourceid><sourceid>BHHNA</sourceid><recordid>eNqNUk1v1DAQjRBILIWfgLRCglvC-COOfeCACvSDqgh2qx5HE8ehWbLJ1s7SXX49TlPtgUuxNJ6x5r2nsZ-TZM4gY3G9X2Usl5AqLoqMA5gMQDGZ7Z4ks0PjaTIDEDqVRrLnyYsQVgAgudSzhC8G6iryVfOn6X7Ohxs3v-59W83POtuvXUzudkttM-znn2igkoJ7mTyrqQ3u1UM-Sq6-fF4en6YX307Ojj9epLYQhUydVFVlqC7AWiULU-uajLOGKJ4YE86Bs6WqOcttqZ0gWdZUqAqgyKUojThK3k26G9_fbl0YcN0E69qWOtdvAyoAzhVnjwJzY1ShuH4UKAoeRYWKwDf_AFf91nfxtqg1MKNBjyA9gazvQ_Cuxo1v1uT3yABHb3CFowU4WoCjN3jvDe4i9Xyierdx9sArWwq9DbbB3yjIQNz2Me6pgpqxjLEZs2DIJcebYR3F3j4MS8FSW3vqbBMOovF9meF6vP2HCXfXtG7_38PiYvH9KlaR_3rir8LQ-wNfciMh12M_nfpNGNzu0Cf_C1X8ETleX57g4nzJL398XaIWfwF9MNI2</recordid><startdate>200906</startdate><enddate>200906</enddate><creator>Solt, Frederick</creator><general>Blackwell Publishing Inc</general><general>Wiley Subscription Services, Inc</general><general>Wiley</general><general>Southwestern Social Science Association</general><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U4</scope><scope>7UB</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>WZK</scope></search><sort><creationdate>200906</creationdate><title>Standardizing the World Income Inequality Database</title><author>Solt, Frederick</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c7374-e46dd9af70cc6479f8fa9ec9aa647113ee0ecb6f215cb8e3a4bfa76d007543b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithms</topic><topic>Certainty</topic><topic>Comparative Analysis</topic><topic>Correlations</topic><topic>Countries</topic><topic>Cross-national analysis</topic><topic>Crosscultural Differences</topic><topic>Crossnational Differences</topic><topic>Datasets</topic><topic>Economic sociology</topic><topic>Gini coefficient</topic><topic>Gross domestic product</topic><topic>Gross income</topic><topic>History, theory and methodology</topic><topic>Income Inequality</topic><topic>Indexes (Measures)</topic><topic>Information science</topic><topic>Methodological Problems</topic><topic>Methodology</topic><topic>Net income</topic><topic>Observational research</topic><topic>Of General Interest</topic><topic>Political Economy</topic><topic>Social sciences</topic><topic>Socioeconomic factors</topic><topic>Sociology</topic><topic>Sociology of economy and development</topic><topic>Standard error</topic><topic>Standard of living. Income</topic><topic>Statistics</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Solt, Frederick</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Worldwide Political Science Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Social science quarterly</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Solt, Frederick</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Standardizing the World Income Inequality Database</atitle><jtitle>Social science quarterly</jtitle><date>2009-06</date><risdate>2009</risdate><volume>90</volume><issue>2</issue><spage>231</spage><epage>242</epage><pages>231-242</pages><issn>0038-4941</issn><eissn>1540-6237</eissn><coden>SSQTAL</coden><abstract>Objective. Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality data sets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to overcome these limitations. Methods. A custom missing-data algorithm was used to standardize the U.N. University's World Income Inequality Database; data collected by the Luxembourg Income Study served as the standard. Results. The SWIID provides comparable Gini indices of gross and net income inequality for 153 countries for as many years as possible from 1960 to the present, along with estimates of uncertainty in these statistics. Conclusions. By maximizing comparability for the largest possible sample of countries and years, the SWIID is better suited to broad cross-national research on income inequality than previously available sources.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><doi>10.1111/j.1540-6237.2009.00614.x</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | Jstor Complete Legacy; RePEc; Wiley Online Library Journals Frontfile Complete; Worldwide Political Science Abstracts; Sociological Abstracts; EBSCOhost Business Source Complete |
| subjects | Algorithms Certainty Comparative Analysis Correlations Countries Cross-national analysis Crosscultural Differences Crossnational Differences Datasets Economic sociology Gini coefficient Gross domestic product Gross income History, theory and methodology Income Inequality Indexes (Measures) Information science Methodological Problems Methodology Net income Observational research Of General Interest Political Economy Social sciences Socioeconomic factors Sociology Sociology of economy and development Standard error Standard of living. Income Statistics Studies |
| title | Standardizing the World Income Inequality Database |
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