dc.contributor.author | Tofallis, C. | |
dc.date.accessioned | 2013-09-04T14:15:08Z | |
dc.date.available | 2013-09-04T14:15:08Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Tofallis , C 2013 , ' An automatic-democratic approach to weight setting for the new human development index. ' , Journal of Population Economics , vol. 26 , no. 4 , pp. 1325-1345 . https://doi.org/10.1007/s00148-012-0432-x | |
dc.identifier.issn | 1432-1475 | |
dc.identifier.other | PURE: 938993 | |
dc.identifier.other | PURE UUID: 5dfc9cd9-16eb-4a05-9de8-de4cd1e3105b | |
dc.identifier.other | Scopus: 84884989629 | |
dc.identifier.other | ORCID: /0000-0001-6150-0218/work/34655896 | |
dc.identifier.uri | http://hdl.handle.net/2299/11531 | |
dc.description.abstract | Perhaps the most difficult aspect of constructing a multi-dimensional index is that of choosing weights for the components. This problem is often bypassed by adopting the ‘agnostic’ option of equal weights, as in the Human Development Index. This is an annual ranking of countries produced by the United Nations Development Programme based on life expectancy, education, and per capita gross national income. These three dimensions are now aggregated multiplicatively. Whatever weights (exponents) are chosen for these dimensions, some nations will feel disadvantaged. To avoid the use of arbitrary weights we propose for consideration a two-step approach: (1) Find the most advantageous set of weights for each nation in turn. (2) Regress the associated optimal scores on the underlying indicators to find a single weight set. This approach has the properties of non-subjectivity, fairness, and convenience. The result is that the highest weight is placed on the life expectancy dimension. | en |
dc.format.extent | 21 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Population Economics | |
dc.subject | multidimensional | |
dc.subject | ranking methods | |
dc.subject | multicriteria analysis | |
dc.title | An automatic-democratic approach to weight setting for the new human development index. | en |
dc.contributor.institution | Department of Marketing and Enterprise | |
dc.contributor.institution | Social Sciences, Arts & Humanities Research Institute | |
dc.contributor.institution | Hertfordshire Business School | |
dc.contributor.institution | Centre for Research on Management, Economy and Society | |
dc.contributor.institution | Statistical Services Consulting Unit | |
dc.contributor.institution | Healthcare Management and Policy Research Unit | |
dc.description.status | Peer reviewed | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | https://doi.org/10.1007/s00148-012-0432-x | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |