Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database.
Objective: This article documents wide‐ranging revisions to the Standardized World Income Inequality Database (SWIID), which seeks to maximize the comparability of income inequality estimates for the broadest possible coverage of countries and years. Methods: Two k‐fold cross‐validations, by observa...
| Publicado en: | Social Science Quarterly (Wiley-Blackwell) Vol. 101; no. 3; pp. 1183 - 1200 |
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| Formato: | Artículo |
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Wiley-Blackwell
May2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=143432203&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 143432203 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00384941 SSQ jtl: Social Science Quarterly (Wiley-Blackwell) issn: 00384941 maglogo: Y pubinfo: dt: May2020 vid: 101 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 143432203 10.1111/ssqu.12795 ppf: 1183 ppct: 17 formats: tig: atl: Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database. aug: au: Solt, Frederick affil: University of Iowa su: Income inequality Public health Gini coefficient Application program interfaces Reproducible research sug: subj: Income inequality Public health Health and Welfare Funds Gini coefficient Application program interfaces Reproducible research ab: Objective: This article documents wide‐ranging revisions to the Standardized World Income Inequality Database (SWIID), which seeks to maximize the comparability of income inequality estimates for the broadest possible coverage of countries and years. Methods: Two k‐fold cross‐validations, by observation and by country, are used to evaluate the SWIID's success in predicting the Luxembourg Income Study (LIS), recognized in the field as setting the standard for comparability. Results: The cross‐validations indicate that the new SWIID's estimates and their uncertainty are even more accurate than previous versions, extending its advantage in comparability over alternate income inequality data sets. Conclusion: Given its superior coverage and comparability, the SWIID remains the optimum source of data for broadly cross‐national research on income inequality. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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