A New Approach to Multidimensional Ordinal Welfare Measurement: Country and Urban Level Evidence
M. Azhar Hussain (),
Ismir Mulalic () and
Lars Peter Østerdal
Additional contact information
M. Azhar Hussain: Department of Finance and Economics, University of Sharjah, UAE, and visiting professor at Department of So- cial Science and Business, Roskilde University, Denmark
No 10-2025, Working Papers from Copenhagen Business School, Department of Economics
Abstract:
We develop a model for comparing welfare across populations, where individual well-being is captured through multiple ordinal indicators. Within an axiomatic framework, we introduce a new measure of relative population welfare that is intuitive and respects the ordinal nature of the data. This measure also enables the computation of an overall inequality index. To demonstrate its application, we use the model to compare welfare across European countries and to analyze welfare and inequality trends in the Copenhagen metropolitan area.
Keywords: Multidimensional well-being; Welfare comparisons; Inequality measurement (search for similar items in EconPapers)
JEL-codes: D63 I00 P50 R10 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2025-06-26
New Economics Papers: this item is included in nep-eur
References: Add references at CitEc
Citations:
Downloads: (external link)
https://hdl.handle.net/10398/0d475ef8-747c-4153-b60b-aa5ec793bb0e Full text (application/pdf)
Full text not avaiable
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:hhs:cbsnow:2025_010
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Papers from Copenhagen Business School, Department of Economics Copenhagen Business School, Department of Economics, Porcelaenshaven 16 A. 1.floor, DK-2000 Frederiksberg, Denmark. Contact information at EDIRC.
Bibliographic data for series maintained by CBS Library Research Registration Team ().