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Evaluation of indicators of labour market using logistic regression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F11%3A65577" target="_blank" >RIV/60460709:41110/11:65577 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of indicators of labour market using logistic regression

  • Original language description

    This paper aims to identify and quantify variables that currently have a large impact on the labour market in the CR. The paper focuses on exploring the influence of individual variables which will be included in the model and their assessment with the help of logistic regression model. Based on testing criteria such as Wald's criterion, the influence on the two variables - of gender and education was proved. When comparing the sexes, we can claim that men, compared to women, have 2.108 times bigger chance to be employed. For the factor of education is valid that, in the comparison of most frequently represented groups in the Czech Republic, the chance to be employed is 0.531 times lower for high school students than for undergraduates. The created logistic regression model correctly classified 75.5% of respondents, which is not a small percentage but indicates insertion of other explanatory variables. Data are obtained from the Labour Force Survey (Czech Statistical Office).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

  • Article name in the collection

    Agrarian Perspectives - Proceedings of the 20th Scientific Conference

  • ISBN

    9788021321960

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    447-454

  • Publisher name

    CULS Prague, Faculty of Economics and Management

  • Place of publication

    Praha

  • Event location

    Czech University of Life Sciences Prague, CR

  • Event date

    Sep 13, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000338036100049