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Work Intensity in Slovakia in Relationship with Socio-Economic Characteristics of Households

DOI:

https://doi.org/10.15678/EBER.2018.060107

Abstract

Objective: The aim of this article is to evaluate the relationship between work intensity and educational attainment of the household head and household type in Slovakia.

Research Design & Methods:Statistical analyses were carried out in analytics software SAS Base and SAS Enterprise Guide by means of contingency, correspondence analysis and multinomial logistic regression. Empirical analyses are based on data from the survey EU-SILC 2015.

Findings: The article provides estimates of the probabilities of individual degrees of households’ work intensity depending on the household type and educational attainment level of the household head, while simultaneously in both cases households are broken down by economic activity of the household head. The presented analysis revealed categories of households which are the most and the least threatened by labour market exclusion from the point of view of the considered factors.

Implications & Recommendations: While the social inclusion monitor in Europe says that in 2012 (quasi-) joblessness was typical for households with three or more children, our analysis for 2014 did not confirm this. The exclusion from the labour market in 2014 was the most typical in Slovakia for households without dependent children, where there is no more than one person in productive age.

Contribution & Value Added: The article is not limited only to the very low work intensity which is used to assess the progress in the reduction of (quasi-) joblessness, but focuses on all the levels of work intensity (very low, low, medium, high and very high).

Keywords

SILC − European Union Statistics on Income and Living Conditions, correspondence analysis, multinomial logistic regression

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References

  1. AcaStat Software (2015). Applied Statistics Handbook. Retrieved on July 21, 2017 from http://www.acastat.com/statbook/chisqassoc.htm
  2. Allison, P.D. (2012). Logistic regression using SAS: Theory and application. Cary: SAS Institute.
  3. Atkinson, A.B., Guio, A., & Marlier, E. (Eds.) (2017). Monitoring social inclusion in Europe. Luxem-bourg: Publications Office of the European Union.
  4. Ayllón, S., & Gábos, A. (2015). The interrelationships between the Europe 2020 social inclusion indicators (No. 15/01). Herman Deleeck Centre for Social Policy, University of Antwerp.
  5. Corluy, V., & Vandenbroucke, F. (2017). Individual employment, household employment and risk of poverty in the EU. A decomposition analysis (June 5, 2017). In A.B. Atkinson, A-C. Guio & E. Marlier (Ed.), Monitoring Social Inclusion in Europe. Statistical Books Eurostat, Luxembourg: Publications Office of the European Union, 2017. Retrieved on July 21, 2017 from https://ssrn.com/abstract=2981712
  6. Eurostat (n.d.). Income and Living Conditions – List of variables. Retrieved on May 4, 2017 from http://ec.europa.eu/eurostat/web/income-and-living-conditions/methodology/list-variables
  7. Eurostat (2016, August 11). People living in households with very low work intensity. Retrieved on June 29, 2017 from http://ec.europa.eu/eurostat/tgm/refreshTableAction.do?tab=table&plugin=1& pcode=t2020_51&language=en
  8. Eurostat (2017, May 3). Glossary: Persons living in households with low work intensity. Retrieved on July 16, 2017 from http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:Persons_
  9. living_in_households_with_low_work_intensity
  10. Gerbery, D. (2013). Nízka intenzita práce a riziko chudoby u pracujúcich v nadväznosti na hod-notenie chudoby a sociálneho vylúčenia (Publication). Bratislava: Inštitút pre výskum práce a rodiny.
  11. Greenacre, M. (2016). Correspondence analysis in practice. New York: Chapman and Hall/CRC.
  12. Guagnano, G., Santarelli, E., & Santini, I. (2013). Subjective poverty in Europe: the role of household socioeconomic characteristics and social capital (Working paper No. 113). Retrieved on August 13, 2017 from Università degli Studi di Roma “La Sapienza” website: https://www.memotef.uniroma1.it/sites/ dipartimento/files/wpapers/documenti/FullTextWP113.pdf
  13. Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis. New York: Macmillan Publishing Company.
  14. Halleröd, B., Ekbrand, H., & Bengtsson, M. (2015). In-work poverty and labour market trajectories: Poverty risks among the working population in 22 European countries. Journal of European Social Policy, 25(5), 473-488. https://doi.org/10.1177/0958928715608794
  15. Hick, R., & Lanau, A. (2017). IN – WORK POVERTY IN THE UK: Problem, policy analysis and platform for action (Rep. No. Final). Retrieved on July 28, 2017 from Cardiff University website: https://orca.cf.ac.uk/103013/1/Hick%20and%20Lanau%20_%20In-Work%20Poverty%20in%20the%20UK.pdf
  16. Horemans, J., Marx, I., & Nolan, B. (2016). Hanging in, but only just: part-time employment and in-work poverty throughout the crisis. IZA Journal of European Labor Studies, 5(1), 5. https://doi.org/10.1186/s40174-016-0053-6
  17. Kis, B.A., & Gábos, A. (2016). Consistent poverty across the EU. Corvinus Journal of Sociology and Social Policy, 7(2), 3-27. https://doi.org/10.14267/issn.2062-087X
  18. Lučkaničová, M., Ondrušeková, I., & Rešovsky, M. (2012). Employment modelling in Slovakia: Com-paring logit models in 2005 and 2009. Economic Annals, 57(192), 25-39. https://doi.org/10.2298/EKA1292025L
  19. Mysíkova, M., Večerník, J., & Želinský, T. (2015). The Impact of the Low Work Intensity on Poverty in the Czech Republic and the Slovak Republic. Journal of Economics, 63(6), 555-575.
  20. Ramon, C.L., Stroup, W.W., & Freund, R.J. (2010). SAS for linear models. SAS Institute.
  21. Rastrigina, O., Leventi, C., & Sutherland, H. (2015). Nowcasting risk of poverty and low work inten-sity in Europe (No. EM9/15). EUROMOD Working Paper.
  22. Řezanková, H., & Želinský, T. (2014). Factors of material deprivation rate in the Czech Republic by household type. Journal of Economics, 62(4), 394-410.
  23. Šoltés, E., & Šoltésová, T. (2016). Occurrence of low work intensity in Slovakia in relation to as-sessment of poverty and social exclusion. In The 10th Professor Aleksander Zelias: proceedings [of] international conference on model-ling and forecasting of socio-economic phenomena (pp. 189-198). Zakopane, Poland: Polska Akademia Nauk.
  24. Watson, D., Maitre, B., & Whelan, C.T. (2012). Work and Poverty in Ireland: An Analysis of the CSO Survey on Income and Living Conditions 2004-2010 (Rep. No. 3). Retrieved on July 7, 2017 from http://www.esri.ie/pubs/BKMNEXT226.pdf
  25. Whelan, C.T., & Maître, B. (2014). The Great Recession and the changing distribution of economic vulnerability by social class: The Irish case. Journal of European Social Policy, 24(5), 470-485. https://doi.org/10.1177/0958928714545444

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