Arbeitspapier

Ranking Intersecting Lorenz Curves

This paper is concerned with the problem of ranking Lorenz curves in situations where the Lorenz curves intersect and no unambiguous ranking can be attained without introducing weaker ranking criteria than first-degree Lorenz dominance. To deal with such situations two alternative sequences of nested dominance criteria between Lorenz curves are introduced. At the limit the systems of dominance criteria appear to depend solely on the income share of either the worst-off or the best-off income recipient. This result suggests two alternative strategies for increasing the number of Lorenz curves that can be strictly ordered; one that focuses on changes that take place in the lower part of the income distribution and the other that focuses on changes that concern the upper part of the income distribution. Furthermore, it is demonstrated that the sequences of dominance criteria characterize two separate systems of nested subfamilies of inequality measures and thus provide a method for identifying the least restrictive social preferences required to reach an unambiguous ranking of Lorenz curves.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 271

Klassifikation
Wirtschaft
Personal Income, Wealth, and Their Distributions
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Thema
The Lorenz curve
partial orderings
rank-dependent measures of inequality
generalized Gini families of inequality measures
principles of transfers and mean-spread-preserving transformations.

Ereignis
Geistige Schöpfung
(wer)
Aaberge, Rolf
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2000

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Aaberge, Rolf
  • Statistics Norway, Research Department

Entstanden

  • 2000

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