Ranking distributions of monotone attributes
This paper refers to the ranking of densities that describe the distribution of an attribute in a given set of populations. The key elements of the problem are: (i) The distributions refer to ordered categorical data (e.g. health statuses, educational achievements, prestige positions, satisfaction levels); (ii) The evaluation of each distribution is relative to the others with which it is compared. We propose an evaluation method that is cardinal, complete and transitive, which based on the consistent application of the "willingness to pay" principle and the likelihood of getting better results when making a random extraction. A characterization of this method, in terms of simple properties, is provided.
|Date of creation:||May 2014|
|Contact details of provider:|| Postal: Carretera de Utrera km.1, 41013 Sevilla|
Phone: + 34 954 34 8913
Fax: + 34 954 34 9339
Web page: http://www.upo.es/econ/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bellù, Lorenzo Giovanni & Liberati, Paolo, 2005. "Social Welfare Analysis of Income Distributions: Ranking Income Distributions with Crossing Generalised Lorenz Curves," MPRA Paper 30115, University Library of Munich, Germany.
- Glenn Sheriff & Kelly B. Maguire, 2013. "Ranking Distributions of Environmental Outcomes Across Population Groups," NCEE Working Paper Series 201304, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Aug 2013.
When requesting a correction, please mention this item's handle: RePEc:pab:wpaper:14.03. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Publicación Digital - UPO)
If references are entirely missing, you can add them using this form.