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