Key points are not available for this paper at this time.
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.
Building similarity graph...
Analyzing shared references across papers
Loading...
Frederick Solt
University of Iowa
Social Science Quarterly
University of Iowa
Building similarity graph...
Analyzing shared references across papers
Loading...
Frederick Solt (Fri,) studied this question.
synapsesocial.com/papers/69d71c92ef370a38abf5096b — DOI: https://doi.org/10.1111/ssqu.12795