Abstrakt:
The article deals with identifying key determinants of poverty in Slovakia. The
two main goals of this article are to examine which factors have a significant effect on
poverty and to determine the influence of relevant factors on poverty of Slovak
households. A logistic regression model was used to quantify the impact of selected
factors on the risk of the poverty and for probability modelling. We compared two
models, using data from EU SILC 2013 and EU SILC 2016. Statistically significant
differences are by the region and also by the degree of urbanization. We found that
variables such as gender, age, household type, households' economic activity, marital
status, education, health, and tenure status significantly affected the occurrence of
poverty. According to contingency coefficients, the rate of poverty was at most influenced
by the economic activity, on the other hand, the lowest rate was obtained for general
health of the person at the head of the household. The obtained results are compared
with the known researches in this field.
