Helena Glaser-Opitzová – University of Economics in Bratislava, Faculty of Economic and Informatics, Dolnozemská cesta 1, Slovakia

Mária Vojtková – University of Economics in Bratislava, Faculty of Economic and Informatics, Dolnozemská cesta 1, Slovakia


DOI: https://doi.org/10.31410/ITEMA.S.P.2020.107


4th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2020, Online/virtual, October 8, 2020, SELECTED PAPERS published by the Association of Economists and Managers of the Balkans, Belgrade; Printed by: SKRIPTA International, Belgrade, ISBN 978-86-80194-37-0, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.S.P.2020




Since the goal of any advanced society is to reduce poverty and improve the social status of the population, it is important to know the causes of its emergence. In connection with Slovakia’s membership in the European Union, we have taken over European legislation in this area. The Europe 2020 strategy is currently in force in the countries of the European Union, while one of its five main objectives is “Fight against poverty and social exclusion”. Poverty research is undoubtedly a topical, multidimensional problem. One of the issues it focuses on is the so-called income poverty. The poverty line is considered to be 60% of the median national equivalent disposable household income. In order for assistance to those at risk to be truly targeted at those who need it most, it is necessary to map the situation in detail and identify the factors that have the greatest impact on the incidence of poverty. In our paper, the subject of analysis will be the quantification of the influence of selected factors from The European Union Statistics on Income and Living Conditions (EU-SILC) database on the at-risk-of-poverty rate in Slovak households. The at-risk-of-poverty rate represents the proportion of people (in percent) in the whole population, whose equivalent disposable income is below the at-risk-of-poverty line. We will verify the impact of selected factors on the at-risk-of-poverty rate using a logistic regression model in the SAS Enterprise Guide statistical tool.



Income poverty, Risk of poverty rate, EU-SILC, Logistic regression.


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