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Comparing inequality of distributions on the basis of mixed Lorenz curves

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F16%3A86099846" target="_blank" >RIV/61989100:27510/16:86099846 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.ekf.vsb.cz/export/sites/ekf/rmfr/cs/sbornik/Soubory/Part_II.pdf" target="_blank" >https://www.ekf.vsb.cz/export/sites/ekf/rmfr/cs/sbornik/Soubory/Part_II.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparing inequality of distributions on the basis of mixed Lorenz curves

  • Original language description

    The Lorenz dominance (LD) is generally used to rank Lorenz curves (LCs) or, equivalently, the corresponding distributions, in terms of inequality. When LCs intersect, the LD is not verified, but we can rely on weaker orders such as the upward or downward second-degree Lorenz dominance (2-LD), which emphasize the effect of the left or the right tail, respectively. The main idea of this paper it to propose a dominance relation that lies between the LD and the 2-LD, i.e. weaker than the former and stronger than the latter. For this purpose, we introduce a mixed Lorenz curve, that is, a mix of the original LC and a symmetric trasformation of it. By so doing, our approach is also intended to emphasize both tails of the distribution, rather than one. We provide an exemplification with regard to distributions of income.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Managing and Modelling of Financial Risks : proceedings of the 8th international scientific conference : September 5-6, 2016, Ostrava, Czech Republic

  • ISBN

    978-80-248-3994-3

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    499-505

  • Publisher name

    VŠB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Sep 5, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article