The work intensity (WI) of a household is primarily monitored in order to identify (quasi-)jobless (QJ) households. QJ households are those households whose members use less than 20% of their work potential. Individuals in such households, together with income-poor and severely materially and socially deprived persons are included in the Europe 2030 Strategy as socially excluded who need to be targeted by social policies.
The aim of the paper is to assess the impact of relevant factors and their interactions on the WI of households in Slovakia and Czechia. For this purpose, general linear models, contrast analysis and estimates of marginal means are employed. The presented analyses are based on the EU-SILC 2021 survey and carried out separately for Slovakia and Czechia. The paper reveals the common and different features of these countries in terms of the WI of households. Particular attention is devoted to the identification of the profiles of persons at high risk of living in QJ households.
work intensity, (quasi-)joblessness, general linear model, marginal means, contrast analysis.
Agresti, A., (2015). Foundations of linear and generalized linear models. John Wiley & Sons.
Cai, W., (2014). Making comparisons fair: how LS-means unify the analysis of linear models. SAS Institute Inc. Paper. SA, S060-2014. [online] https://support.sas.com/ resources/papers/proceedings14/SAS060-2014.pdf. [Accessed on 18 October 2023].
Calegari, E., Fabrizi, E. and Mussida, C., (2022). Disability and work intensity in Italian households. Review of Economics of the Household, pp. 1–20. https://doi.org/ 10.1007/s11150-021-09559-6.
Dean, A., Voss, D. and Draguljić, D., (2017). Design and Analysis of Experiments. Springer, New York.
Dudek, H., Szczesny, W., (2021). Multidimensional material deprivation in Poland: a focus on changes in 2015–2017. Quality & Quantity, 55(2), pp. 741–763. https:// doi.org/10.1007/s11135-020-01024-3.
Duiella, M., Turrini, A., (2014). Poverty developments in the EU after the crisis: a look at main drivers. ECFIN Economic Brief, 31, pp. 1-10. https://doi.org/10.2765/72447
Elswick Jr, R. K., Gennings, C., Chinchilli, V. M. and Dawson, K. S., (1991). A simple approach for finding estimable functions in linear models. The American Statistician, 45(1), pp. 51–53.
Eurostat, (2023a). Risk of poverty decreases as work intensity increases. [online] https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20230227-1. [Ac-cessed on 27 October 2023].
Eurostat, (2023b). Disability statistics - poverty and income inequalities. [online] https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Disability_stat istics_-_poverty_and_income_inequalities#At_risk_of_poverty_or_social_exclusion. [Accessed on 27 October 2023].
European Commission, (2021). Methodological guidelines and description of EU-SILC target variables. 2021 operation (Version 4_09/12/2020). [online] https://circabc. europa.eu/sd/a/f8853fb3-58b3-43ce-b4c6-a81fe68f2e50/Methodological%20guide lines%202021%20operation%20v4%2009.12.2020.pdf. [Accessed on 20 October 2023].
Fabrizi, E., Mussida, C., (2020). Assessing poverty persistence in households with children. Journal of Economic Inequality, 18(4), pp. 551–569. https://doi.org/ 10.1007/ s10888-020-09455-6.
Filandri, M., Struffolino, E., (2019). Individual and household in-work poverty in Europe: understanding the role of labor market characteristics. European Societies, 21(1), pp. 130–157. https://doi.org/10.1080/14616696.2018.1536800.
García-Gómez, C., Pérez, A. and Prieto-Alaiz, M., (2021). Copula-based analysis of multivariate dependence patterns between dimensions of poverty in Europe. Review of Income and Wealth, 67(1), pp. 165–195. https://doi.org/10.1111/ roiw.12461.
Gerbery, D., Miklošovic, T., (2020). Labour Market Transitions and Their Determi-nants in Slovakia: Path from Crisis to Recovery 1. Ekonomicky Casopis, 68(7), pp. 651–676. https://doi.org/10.1111/roiw.12461.
Guio, A. C., Vandenbroucke, F., (2019). Poverty and child deprivation in Belgium. A comparison of risk factors in the three regions and neighbouring countries. (March 1, 2019). King Baudouin Foundation.
Hallaert, J. J., Vassileva, I. and Chen, T., (2023). Rising Child Poverty in Europe: Mitigating the Scarring from the COVID-19 Pandemic. International Monetary Fund, Working Paper No. WP/2023/134.
Hofmarcher, T., (2021). The effect of education on poverty: A European perspective. Economics of Education Review, 83, 102124. https://doi.org/10.1016/j.econedurev. 2021.102124.
Horemans, J., (2016). Polarisation of non-standard employment in Europe: Exploring a missing piece of the inequality puzzle. Social Indicators Research, 125, pp. 171–189. https://doi.org/10.1007/s11205-014-0834-0.
Horemans, J., Lohmann, H. and Marx, I., (2018). Atypical employment and in-work poverty. Handbook on in-work poverty, pp. 146–170.
Kis, B. A., Gábos, A., (2016). Consistent poverty across the EU. Corvinus Journal of Sociology and Social Policy, 7(2), pp. 3–27. https://doi.org/10.14267/CJSSP. 2016.02.01
Kuznetsova, A., Brockhoff, P. B. and Christensen, R. H. B., (2017). lmerTest package: tests in linear mixed effects models. Journal of statistical software, 82(13). https://doi.org/10.18637/jss.v082.i13.
Lehwess-Litzmann, R. and Nicaise, I., (2020). Surprisingly small: Effects of “generous” social benefits on re-employment of (quasi-) jobless households. Journal of International and Comparative Social Policy, 36(1), pp. 76–91. https://doi.org/ 10.1017/ics.2020.1
Lenth, R. V., (2016). Least-squares means: the R package lsmeans. Journal of statistical software, 69, pp. 1-33. https://doi.org/10.18637/jss.v069.i01.
Littell, R. C., Stroup, W. W. and Freund, R. J., (2010). SAS for Linear Models. 4th ed. Cary, NC: SAS Institute Inc.
McFarquhar, M., (2016). Testable hypotheses for unbalanced neuroimaging data. Frontiers in neuroscience, 10, 270. https://doi.org/10.3389/fnins.2016.00270.
Mussida, C., Sciulli, D., (2024). Poverty, work intensity, and disability: evidence from European countries. The European Journal of Health Economics, pp. 1–20. https://doi.org/10.1007/s10198-024-01679-x.
Nieuwenhuis, R., Maldonado, L., (2018). The triple bind of single-parent families: Resources, employment and policies to improve well-being. Policy Press. https:// doi.org/10.2307/j.ctt2204rvq.
Regan, M., Maître, B., (2020). Child poverty in Ireland and the pandemic recession (No. 2021/4). Budget Perspectives. https://doi.org/10.26504/bp202104.
SAS Institute Inc., (1997). SAS Technical Report R-103, Least-squares means in the fixed-effects general models. NC: SAS Institute Inc.
SAS Institute Inc., (2018). SAS/STAT® 15.1 User’s Guide. The GLM Procedure. Cary SAS/STAT® 15.1, NC: SAS Institute Inc.
Schad, D. J., Vasishth, S., Hohenstein, S. and Kliegl, R., (2020). How to capitalize on a priori contrasts in linear (mixed) models: A tutorial. Journal of memory and language, 110, 104038. https://doi.org/10.1016/j.jml.2019.104038.
Searle, S. R., Gruber, M. H. J., (2017). Linear Models, 2nd ed., John Wiley & Sons.
Searle, S. R., Speed, F. M. and Milliken, G. A., (1980). Population marginal means in the linear model: an alternative to least squares means. The American Statistician, 34(4), pp. 216–221.
Suzuki, M., Taniguchi, T., Furihata, R., Yoshita, K., Arai, Y., Yoshiike, N. and Uchiyama, M., (2019). Seasonal changes in sleep duration and sleep problems: A prospective study in Japanese community residents. PLoS One, 14(4), e0215345. https://doi.org/10.1371/journal.pone.0215345.
Tabachnick, B. G., Fidell, L. S. and Ullman, J. B., (2013). Using multivariate statistics, Vol. 6, pp. 497–516. Boston, MA: pearson.
Treanor, M. C., (2018). Income poverty, material deprivation and lone parenthood. The triple bind of single-parent families, pp. 81-100. https://doi.org/10.2307/j. ctt2204rvq.10.
Treanor, M., Troncoso, P., (2022). Poverty, parental work intensity and child emotional and conduct problems. Social Science & Medicine, 312, p. 115373. https://doi.org/ 10.1016/j.socscimed.2022.115373.
van der Zwan, R., de Beer, P., (2021). The disability employment gap in European countries: What is the role of labour market policy?. Journal of European Social Policy, 31(4), pp. 473–486. https://doi.org/10.1177/09589287211002435.
Verbunt, P., Guio, A. C., (2019). Explaining differences within and between countries in the risk of income poverty and severe material deprivation: Comparing single and multilevel analyses. Social Indicators Research, 144, pp. 827–868. https:// doi.org/10.1007/s11205-018-2021-1.
Wang, B., Wu, P., Kwan, B., Tu, M. X. and Feng, Ch., (2018). Simpson’s paradox: examples. Shanghai archives of psychiatry, 30(2), p. 139. https://doi.org/10.11919/ j.issn.1002-0829.218026.
Watson, D., Maître, B. and Russell, H., (2015). Transitions into and out of Household Joblessness, 2004 to 2014 (No. 5). ESRI Social Inclusion Report.
Westfall, P. H., Tobias, R. D., (2007). Multiple testing of general contrasts: Truncated closure and the extended Shaffer–Royen method. Journal of the American Statistical Association, 102(478), pp. 487–494. https://doi.org/10.1198/016214506000001338.