Czech Salaries in the Public Sphere: Empirical Evidence
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F45773009%3A_____%2F22%3AN0000051" target="_blank" >RIV/45773009:_____/22:N0000051 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.narodacek.cz/wp-content/uploads/2023/01/03_Bilkova.pdf" target="_blank" >https://www.narodacek.cz/wp-content/uploads/2023/01/03_Bilkova.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Czech Salaries in the Public Sphere: Empirical Evidence
Popis výsledku v původním jazyce
The labour market comprises one of the basic economic factors in all developed countries. However, the labour market is not homogeneous; moreover, it can be analysed applying various parameters, i.e. economic, structural, flexibility, mobility, education, and demographic. This paper addresses the construction of clusters of districts in the Czech Republic that are as similar as possible in terms of the gross employee salary, age, education and number of years of employment. The cluster analysis approach was applied in the research supplemented by Ward’s method and the Euclidean distance. The various districts of the Czech Republic were divided into fourteen clusters. It was determined that the resulting clusters of districts do not correspond to the country’s regional structure, rather the clusters relate to districts that are similar to each other in terms of their populations, areas and industrial and other factors as opposed to their geographical locations.
Název v anglickém jazyce
Czech Salaries in the Public Sphere: Empirical Evidence
Popis výsledku anglicky
The labour market comprises one of the basic economic factors in all developed countries. However, the labour market is not homogeneous; moreover, it can be analysed applying various parameters, i.e. economic, structural, flexibility, mobility, education, and demographic. This paper addresses the construction of clusters of districts in the Czech Republic that are as similar as possible in terms of the gross employee salary, age, education and number of years of employment. The cluster analysis approach was applied in the research supplemented by Ward’s method and the Euclidean distance. The various districts of the Czech Republic were divided into fourteen clusters. It was determined that the resulting clusters of districts do not correspond to the country’s regional structure, rather the clusters relate to districts that are similar to each other in terms of their populations, areas and industrial and other factors as opposed to their geographical locations.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů