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Differentiation and Dynamics of Household Incomes in the Czech EU-SILC Survey in the Years 2005-2008

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F11%3A00056749" target="_blank" >RIV/00216224:14310/11:00056749 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Differentiation and Dynamics of Household Incomes in the Czech EU-SILC Survey in the Years 2005-2008

  • Original language description

    Finite mixtures of regression models are frequently used to model unobserved heterogeneity. Mixed models are widely applied to longitudinal data, modelling multiple observations from a single subject collected over time. We apply multivariate mixture model to the Czech longitudinal survey of household income in the European Union Statistics on Income and Living Conditions in 2005 ? 2008. By means of the Finite mixtures of regression models, households are categorized according to four classes of incomedynamics.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Aplimat - Journal of Applied Mathematics

  • ISSN

    1337-6365

  • e-ISSN

  • Volume of the periodical

    4(2011)

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    10

  • Pages from-to

    199-208

  • UT code for WoS article

  • EID of the result in the Scopus database