The T-Statistic Approach to Inference for Inequality Indices: The Issue of Grouping Variability
Nicolas Herault () and
Stephen P. Jenkins ()
Additional contact information
Nicolas Herault: University of Bordeaux
Stephen P. Jenkins: London School of Economics
No 17972, IZA Discussion Papers from Institute of Labor Economics (IZA)
Abstract:
Ibragimov, Kattuman, and Skrobotov (Econometric Reviews, 2025) propose a ‘t-statistic’ approach to inference for inequality indices building on results provided by Ibragimov and Müller (Journal of Business & Economic Statistics, 2010), and they and Midões and de Crombrugghe (Journal of Economic Inequality, 2023) evaluate its performance. We highlight a feature of the t-statistic approach – ‘grouping variability’ – that has been understudied to date, showing how this complicates inference for inequality indices.
Keywords: asymptotic inference; t-statistic inference approach; inequality; grouping variability (search for similar items in EconPapers)
JEL-codes: C14 C46 C81 D31 (search for similar items in EconPapers)
Date: 2025-06
New Economics Papers: this item is included in nep-ltv
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://docs.iza.org/dp17972.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp17972
Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Access Statistics for this paper
More papers in IZA Discussion Papers from Institute of Labor Economics (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Holger Hinte ().