Distorted Lorenz curves: models and comparisons
Miguel Sordo (),
Jorge Navarro and
José María Sarabia ()
Social Choice and Welfare, 2014, vol. 42, issue 4, 780 pages
Abstract:
The economic literature contains many parametric models for the Lorenz curve. A number of these models can be obtained by distorting an original Lorenz curve $$L$$ L by a function $$h$$ h , giving rise to a distorted Lorenz curve $${\widetilde{L}}=h\circ L$$ L ~ = h ∘ L . In this paper, we study, in a unified framework, this family of curves. First, we explore the role of these curves in the context of the axiomatic structure of Aaberge ( 2001 ) for orderings on the set of Lorenz curves. Then, we describe some particular models and investigate how changes in the parameters in the baseline Lorenz curve $$L$$ L affect the transformed curve $${\widetilde{L}}$$ L ~ . Our results are stated in terms of preservation of some stochastic orders between two Lorenz curves when both are distorted by a common function. Copyright Springer-Verlag Berlin Heidelberg 2014
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00355-013-0754-y (text/html)
Access to full text is restricted to subscribers.
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:spr:sochwe:v:42:y:2014:i:4:p:761-780
Ordering information: This journal article can be ordered from
http://www.springer. ... c+theory/journal/355
DOI: 10.1007/s00355-013-0754-y
Access Statistics for this article
Social Choice and Welfare is currently edited by Bhaskar Dutta, Marc Fleurbaey, Elizabeth Maggie Penn and Clemens Puppe
More articles in Social Choice and Welfare from Springer, The Society for Social Choice and Welfare Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().