Journal
SOCIAL SCIENCE QUARTERLY
Volume 101, Issue 3, Pages 1183-1199Publisher
WILEY
DOI: 10.1111/ssqu.12795
Keywords
-
Categories
Funding
- U.S. National Science Foundation Award [1533746]
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [1533746] Funding Source: National Science Foundation
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available