EMPLOYMENT MODELLING IN SLOVAKIA: COMPARING LOGIT MODELS IN 2005 AND 2009

Martina Lučkaničová, Ivana Ondrušeková and Marcel Rešovský

Economic Annals, 2012, vol. 57, issue 192, 25–40

Abstract: In this paper we present models based on a statistical modelling approach that explain the effects of selected variables on employment in Slovakia in the years 2005 and 2009. The probability of becoming employed (employability/odds ratio) was based on individual data from the harmonized EU SILC statistical survey with some socio-economic factors. For quantification of the mentioned variables’ impact on the dependent variable (employment) logistic regression was applied. The results confirmed a positive effect of work experience and the highest level of education attained on employability. Conversely, in some cases age showed a negative effect on the dependent variable, and to some extent gender also had a significant effect. In terms of region, a lower chance of becoming employed was found for inhabitants in Eastern Slovakia when compared to other regions.

Keywords: Unemployment; labour market; logistic regression; EU SILC; Slovakia. (search for similar items in EconPapers)
JEL-codes: C21 C52 J21 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ekof.bg.ac.rs/wp-content/uploads/2014/06/183.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:beo:journl:v:57:y:2012:i:192:p:25-40

Ordering information: This journal article can be ordered from
http://ea.ekof.bg.ac.rs/

Access Statistics for this article

Economic Annals is currently edited by Will Bartlett

More articles in Economic Annals from Faculty of Economics and Business, University of Belgrade Contact information at EDIRC.
Bibliographic data for series maintained by Goran Petrić ().