KRKOŠKOVÁ, Radmila. Analysis of labour market development in the Czech Republic. Online. In Michal Houda, Radim Remeš. 37thInternational Conference onMathematical Methods in Economics 2019. České Budějovice: University of South Bohemia in České Budějovice, Faculty of EconomicsStudentská 13, 370 05 České Budějovice, Czech Republic, 2019, p. 314-319. ISBN 978-80-7394-760-6.
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Basic information
Original name Analysis of labour market development in the Czech Republic
Authors KRKOŠKOVÁ, Radmila (203 Czech Republic, guarantor, belonging to the institution).
Edition České Budějovice, 37thInternational Conference onMathematical Methods in Economics 2019, p. 314-319, 6 pp. 2019.
Publisher University of South Bohemia in České Budějovice, Faculty of EconomicsStudentská 13, 370 05 České Budějovice, Czech Republic
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50202 Applied Economics, Econometrics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/47813059:19520/19:A0000065
Organization unit School of Business Administration in Karvina
ISBN 978-80-7394-760-6
Keywords in English ADF test of stationarity; Beveridge curve; cointegration test; Johansen test; labor market; VECM
Changed by Changed by: Mgr. Radmila Krkošková, Ph.D., učo 48703. Changed: 11/1/2020 14:48.
Abstract
This article deals with an analysis of the relationship between the unem-ployment rate and the number of vacancies in the labour market. This relationship can be characterized by the Beveridge curve. The article explores, whether there is a long-term or short-term relationship between variables. Furthermore, this relation-ship in the labour market is expanded with the impact of the rate of the unemployed earning unemployment benefit, the rate of unemployed graduates and the rate of un-employed women. The vector error correction model was used for this purpose to determine both long-term and short-term causal relationships. To create the resulting model, the econometric methodology was used, namely unit root tests, Granger cau-sality for the determination of statistically significant relationships, information cri-teria and the Johansen cointegration test.The data used have the character of quar-terly time series in the period from 2002Q1 to 2018Q4.EViews software version 9 was usedfor the calculations.
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