Factors of Differences in the Highest Wages of Employees in the Slovak Republic (2020 vs. 2010)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F22%3A39919880" target="_blank" >RIV/00216275:25410/22:39919880 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.54694/stat.2022.6" target="_blank" >https://doi.org/10.54694/stat.2022.6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.54694/stat.2022.6" target="_blank" >10.54694/stat.2022.6</a>
Alternative languages
Result language
angličtina
Original language name
Factors of Differences in the Highest Wages of Employees in the Slovak Republic (2020 vs. 2010)
Original language description
The article offers the results of statistical analysis of data on the highest wages of employees in the Slovak Republic in 2020. Descriptive analysis of sample data is supplemented by generalizing the results to the population of all employees whose salary exceeds the 99th percentile of the sample, by selected methods of statistical inference, which are probability models of the highest wages and analysis of variance. The analysis focuses on assessing the significance of the impact of selected demographic and social factors on the highest salaries of employees in SR in 2020 and their differences. The investigated factors there are gender, level of education, region of residence, the label of occupation, and age category. The article also focuses on inequalities in the number of employees at different levels of the monitored factors. The obtained results of the analysis are compared with the results of similar analysis from 2010.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Statistika
ISSN
0322-788X
e-ISSN
1804-8765
Volume of the periodical
102
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
14
Pages from-to
382-395
UT code for WoS article
000901752100002
EID of the result in the Scopus database
2-s2.0-85147808613