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Parametric families for the Lorenz curve: An analysis of income distribution in the European countries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F19%3A10243727" target="_blank" >RIV/61989100:27510/19:10243727 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.ekf.vsb.cz/cerei/cs/index.html" target="_blank" >https://www.ekf.vsb.cz/cerei/cs/index.html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7327/cerei.2018.06.03" target="_blank" >10.7327/cerei.2018.06.03</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parametric families for the Lorenz curve: An analysis of income distribution in the European countries

  • Original language description

    The European Union Survey on Income and Living Conditions (EU-SILC) is the main source of information about living standards and poverty in the EU member states. We compare different parametric models for the Lorenz curve (LC) with an empirical analysis of the income distributions of 26 European countries, in the year 2017. The objective of our empirical study is to verify whether simple mono-parametric models for the LCs can represent similarities or differences between European income distributions in sufficient detail or, rather, some more sophisticated multi-parametric models should be used instead. In particular, we consider the power LC, the Pareto LC, the Lamè LC, a generalized bi-parametric version of the Lamè LC, a bi-parametric mixture of power LCs and the recently introduced arctan family of LCs. Whilst the first three families are ordered, in that different parametric values correspond to a situation of Lorenz ordering, the latter three may also identify the ambiguous situation of intersecting LCs. Therefore, besides focusing on the goodness-of-fit of the models considered and their mathematical simplicity, we concern about the effectiveness of multi-parametric models in identifying the non-dominated cases.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    <a href="/en/project/GJ17-23411Y" target="_blank" >GJ17-23411Y: Income distribution in the society: econometric models and dominance criteria for intersecting Lorenz curves</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Ekonomická revue - Central European Review of Economics Issues

  • ISSN

    1212-3951

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    51-60

  • UT code for WoS article

  • EID of the result in the Scopus database