Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/283805 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
WIDER Working Paper No. 2023/109
Verlag: 
The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki
Zusammenfassung: 
Globally, there are several initiatives being undertaken to ensure the availability of information across countries that can be used to analyse the inequality phenomenon in and among countries. The data are easily accessible for use in comparative research on inequality across regions and countries, especially those covered by the UNU-WIDER World Income Inequality Database (WIID) initiative. This initiative is among the leading data innovations in the field of inequality research. This study explores how well the WIID Companion's standardized inequality measures relate to those derived using locally based data, such as the Kenyan inequality diagnostics and the fiscal incidence studies conducted by the African Centre of Excellence for Inequality Research (ACEIR). The findings show that the WIID Companion's standardized inequality measures are much higher than those in the original WIID, the Kenyan inequality diagnostic, and the fiscal incidence studies. The study demonstrates that inequality measures based on per capita consumption are likely to be lower than those based on net per capita income, partly due to the former not capturing the savings portion of disposable income. It is difficult to authenticate how well the WIID's standardized inequality measures relate to measures of per capita income inequality in Kenya due to lack of quality data on income and taxation. This issue needs to be investigated further as better data become available.
Schlagwörter: 
inequality measures
data
WIID
Kenya
JEL: 
C8
D3
E2
H3
I3
Persistent Identifier der Erstveröffentlichung: 
ISBN: 
978-92-9267-417-5
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
443.19 kB





Publikationen in EconStor sind urheberrechtlich geschützt.