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Factors of Gender Pay Gap in the Highest Wages of Employees in the Slovak Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F22%3A39919581" target="_blank" >RIV/00216275:25410/22:39919581 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.15240/tul/001/2022-4-002" target="_blank" >https://doi.org/10.15240/tul/001/2022-4-002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15240/tul/001/2022-4-002" target="_blank" >10.15240/tul/001/2022-4-002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Factors of Gender Pay Gap in the Highest Wages of Employees in the Slovak Republic

  • Original language description

    The article contains the results of empirical analysis of data on one percent of employees with the highest salaries in the Slovak Republic in 2020. The starting point for the analysis there is 11 570 anonymized individual values of average gross monthly wage and also personal data of the employees whose wage exceeded the 99th percentile of the sample survey The Informational system on labour costs, implemented in the Slovak Republic since 1992 by the company Trexima Bratislava. The aim of the article is to assess the gender pay gap for the best- earning men and women and assess the significance of the impact of selected factors that contribute it. Given the availability of data the monitored factors of the gender pay gap there are education, region of residence, the type of occupation, and the categorized age of employees. To achieve the objective, selected quantitative methods were used, namely methods of descriptive statistics and statistical inference, as goodness-of-fit tests, chi-square tests of independence and machine learning methods, as normalized Shannon entropy and regression decision tree models. The results of analyses by these methods have been preferably presented in a graphical form. Based on the application of the above methods the significant wage differences by gender at the highest wages (over the 99th percentile of the sample) and significant impact of monitored factors has been confirmed not only on the gender pay gap, but also on the structure of their employment. The results of the analyses lead to the conclusion that the significant wage differences by gender at the highest wages are caused precisely by unequal representation of men and women on the different levels of the monitored factors.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    E+M Ekonomie a Management

  • ISSN

    1212-3609

  • e-ISSN

    2336-5064

  • Volume of the periodical

    XXV

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    20

  • Pages from-to

    20-39

  • UT code for WoS article

    000922895400005

  • EID of the result in the Scopus database

    2-s2.0-85144229013