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Employment Modelling In Slovakia: Comparing Logit Models In 2005 And 2009


  • Martina Lučkaničová
  • Ivana Ondrušeková
  • Marcel Rešovský


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.

Suggested Citation

  • Martina Lučkaničová & Ivana Ondrušeková & Marcel Rešovský, 2012. "Employment Modelling In Slovakia: Comparing Logit Models In 2005 And 2009," Economic Annals, Faculty of Economics, University of Belgrade, vol. 57(192), pages 25-40, January –.
  • Handle: RePEc:beo:journl:v:57:y:2012:i:192:p:25-40

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    References listed on IDEAS

    1. Ilias Livanos, 2007. "The incidence of long-term unemployment: evidence from Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 14(6), pages 405-408.
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    More about this item


    Unemployment; labour market; logistic regression; EU SILC; Slovakia.;

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection


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