Using structural equation modeling to analyze unemployment in districts


  • Mirosława Żurek Nicolaus Copernicus University in Torun



structural equation model, SEM, unemployment in districts, latent variables


The aim of this article is to analyze and discover reasons for district?s unemployment rate variety in Poland. According to theory and published findings the study concentrates on relationships between unemployment rate in region and economic although infrastructure and social factors. The study was performed using structural equation modelling (SEM) in which relationships between dependent and independent although latent and measurable variables can be include. As a latent variable in this research transport infrastructure was adopted. It was defined using urbanization rate, road and communication way length. The research demonstrated the existence of non-positive relationships between unemployment rate in district and urbanization rate. Low educational level and high percentage of people employed in agriculture increase unemployment level in districts. Good transport infrastructure has positive influence on number of vacancy and unemployment rate. Results of the research allow to analyze in detail the reasons for unemployment rate variety in various districts.


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How to Cite

Żurek, M. (2010). Using structural equation modeling to analyze unemployment in districts. Equilibrium. Quarterly Journal of Economics and Economic Policy, 4(1), 131–140.



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