№4 (38) 2019
Demography and social economy, 2019, 4(38):42-57
doi: https://doi.org/10.15407/dse2019.04.042
UDC 331.52:311.21 (477)
JEL СLASSIFICATION J21; J24
L.M. Ilich
Dr. Sc. (Economics), Assosiate Prof, Head of the
Department of Managment
Borys Grinchenko Kyiv University
04212, Ukraine, Kyiv, 13-B, Marshala Tymoshenka Str.
E-mail: l.ilich@kubg.edu.ua
ORCID 0000-0002-8594-1824
V.G. Sarioglo
Doctor of Economics, Senior Researcher
Ptoukha Institute for Demography and Social Studies
of the National Academy of Sciences of Ukraine
01032, Ukraine, Kyiv, Blvd. Taras Shevchenko, 60
Е-mail: sarioglo@idss.org.ua
ORCID 0000-0003-4381-9633
STATISTICAL MODELING OF SKILLS MISMATCH IN THE LABOR MARKET
Section: DEMOGRAPHIC PROCESSES AND POPULATION STATISTICS
Language: Ukrainian
Abstract: The existence of significant disparities within the scope of labor demand and supply in Ukraine leads to
simultaneous shortage of skilled workers for some jobs and / or skills, as well as excessive supply of labor force
obtaining irrelevant vocational qualifications and skills. This situation reduces the employment efficiency,
restrains labor productivity growth, and confirms low labor force quality. In this context, educational and skill
imbalance is an essential deterrent of national economy efficiency as it concerns the mismatch between skills and
existing jobs requirements, over-educated as well as undereducated employee which is defined by excess or lack
of special knowledge level to accomplish a specific work tasks. Based on studies of leading European practices
of educational and skills misbalance measuring and considering existing statistical database in Ukraine, the
article suggests methodological approaches to estimate vertical and horizontal skills mismatch with the use of
statistical modeling methods. Such an approach promotes evaluating the level of labor force education and skills
level depending on their main features (age, gender, type of settlement, economic activity), follow and investigate
the condition, trends, and patterns of labor force demand and supply balance processes. Statistical models of
interlinks between vertical and horizontal mismatches indices are built. Trends of changes within vertical and
horizontal mismatches are investigated; their differences and main distinguishing feature of their developments are
highlighted. On the ground of the calculations made the indices of vertical and horizontal mismatches by sectors
and economic activities at times are estimated, the reasons for their development trends differentiation in direction
are defined. The results obtained may serve as an informational basis to justify sectoral priorities concerning
security of national educational system flexibility and employment structural changes advancement.
Key words: labor force, labor market, skills mismatch, imbalance, statistical modeling.
References:
1. Freeman, R.B. (1976). The Over-Educated American. New York: Academic Press.
2. Becker, G. (1993). Human Capital. A Theoretical and Empirical Analysis with Special Reference to Education. 3 Ed. Chicago: The University of Chicago Press. doi: https://doi.org/10.7208/chicago/9780226041223.001.0001
3. Massen van den Brink, H. (2000). Overeducation in the Labor Market: A Meta-analysis. Economics of
Education Review, 19, 149-158. doi: https://doi.org/10.1016/S0272-7757(99)00057-6
4. Sloane, P.J. (2002). Much ado about nothing? What does the overeducation literature really tell us? Berlin:
Max Planck Institute For Human Development.
5. McGuinness, S., & Bennett, J. (2007). Overeducation in the graduate labour market: A quantile regression approach. Economics of Education Review, 26, 5, 521-531. doi: https://doi.org/10.1016/j.econedurev.2005.12.003
6. McGuinness S. (2006). Overskilling in the labour market. Journal of Economics Surveys, Vol. 20, 3,
387-418. - doi: https://doi.org/10.1111/j.0950-0804.2006.00284.x
7. Ilich, L.M. (2017). Structural Transformations in the transitional Labor Market of Ukraine. [Strukturni
transformatsii tranzytyvnoho rynku pratsi Ukrainy]. Kyiv: Alerta [in Ukrainian].
8. Libanova, E. (2014). Labour market transitions of young women and men in Ukraine: Results of the 2013
and 2015 school-to-work transition surveys. Geneva, International Labour Office.
9. Kupets, O. (2015). Skills mismatch and overeducation in transition economies. IZA World of Labor.
Germany. Retrieved from doi: https://doi.org/10.15185/izawol.224
10. Blyzniuk, V.V., & Yuryk, Ya.I. (2019). Osvitno-kvalifikatsiini dysproportsii rehionalnoho rynku pratsi
Ukrainy [Educational and qualification disproportions of Ukraine’s regional labor market]. Ekonomika
i prohnozuvannia, 2, 101-119. doi: https://doi.org/10.15407/econforecast2019.02.099
11. Skills, qualifications and jobs in the EU: the making of a perfect match? Evidence from Cedefop’s European
skills and jobs survey. (2015). CEDEFOP. Luxembourg: Publications Office of the European Union.
12. Skills Outlook 2013: First Results from the Survey of Adult Skills (2013). Paris: OECD Publishing.
13. Manpower Group (2014). Global Talent Shortage Hits Seven-Year Hight. Retrieved from https://www.
manpowergroup.com/media-center/news-releases/Global+Talent+Shortage+Hits+Seven-Year+
High.
14. Official website of Eurostat. (n.d.) Retrieved from https://ec.europa.eu/eurostat.
» pdf