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Statistical Modeling of the Factors of Formation of the Quality of Employment in Ukraine
Korepanov O. S., Lazebnyk I. O., Momotiuk L. Y., Parfentseva N. O., Chala T. G., Korepanov G. S., Chernenko D. I.

Korepanov, Oleksiy S. et al. (2022) “Statistical Modeling of the Factors of Formation of the Quality of Employment in Ukraine.” Business Inform 1:172–178.
https://doi.org/10.32983/2222-4459-2022-1-172-178

Section: Economic statistics

Article is written in Ukrainian
Downloads/views: 1

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UDC 311.21:[005.336.3:331.52]

Abstract:
In the article, the main attention is paid to the development of methodological principles of statistical modeling of factors for the formation of employment quality. The necessity of developing a new strategy in the formation of employment quality to ensure effective socioeconomic development of Ukraine is substantiated. The necessary steps and management decisions are determined. The problems of assessing the quality of employment in Ukraine are outlined, the main stage of which is the modeling of factors for the formation of employment quality using modern statistical methods. In order to define the generalized factors of employment quality formation, a model of the main components is constructed, allowing to transform the 18-dimensional sign space into a five-dimensional space of generalized factors that explain 87.6% of the variation in the selected features, which indicates a high level of factorization. Five main factors are identified and ranked according to the degree of importance: the level of informatization of society (contribution – 41.7%), working conditions and the environment (26.3%), informal employment (8.2%), industrial injuries with fatal consequences (6.3%), and the employment rate (5.1%). The computations were carried out using the application package «Statistica», in particular the module «Factor analysis». The use of the developed model makes it possible to prevent subjectivism in determining the main factors in the formation of employment quality. The conducted study provided to substantiate the theoretical-methodological principles of statistical modeling of factors for the formation of employment quality on the basis of the method of the main components. The identified factors can be taken as a basis for the formation of key directions of improvement of the employment sphere in Ukraine.

Keywords: statistical modeling, employment, quality of employment, labor market, method of main components, factors of formation.

Fig.: 2. Tabl.: 2. Formulae: 1. Bibl.: 12.

Korepanov Oleksiy S. – Doctor of Sciences (Economics), Professor, Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]
Lazebnyk Iuliia O. – Doctor of Sciences (Economics), Professor, Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]
Momotiuk Liudmyla Ye. – Doctor of Sciences (Economics), Professor, Pro-rector, The National Academy of Statistics, Accounting and Auditing (1 Pіdhіrna Str., Kyiv, 04107, Ukraine)
Email: [email protected]
Parfentseva Nelya O. – Doctor of Sciences (Economics), Professor, Professor, Department of Statistics, The National Academy of Statistics, Accounting and Auditing (1 Pіdhіrna Str., Kyiv, 04107, Ukraine)
Email: [email protected]
Chala Tеtyana G. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]
Korepanov Georgii S. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]
Chernenko Daryna I. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]

List of references in article

Kolot, A. M. et al. Hidna pratsia: imperatyvy, ukrainski realii, mekhanizmy zabezpechennia [Decent Work: Imperatives, Ukrainian Realities, Support Mechanisms]. Kyiv: KNEU, 2017.
Yerina, A. M., and Yerin, D. L.Statystychne modeliuvannia ta prohnozuvannia [Statistical Modeling and Forecasting]. Kyiv: KNEU, 2014.
“Statystychnyi zbirnyk «Rehiony Ukrainy» 2020“ [Statistical Collection "Regions of Ukraine" 2020], part 1. Kyiv : Derzhavna sluzhba statystyky Ukrainy, 2021. https://ukrstat.org/uk/druk/publicat/kat_u/2021/zb/12/Regionu_20_pdf.zip
“Statystychnyi zbirnyk «Rehiony Ukrainy» 2020“ [Statistical Collection "Regions of Ukraine" 2020], part 2. Kyiv : Derzhavna sluzhba statystyky Ukrainy, 2021. https://ukrstat.org/uk/druk/publicat/kat_u/2021/zb/12/Regionu_20_pdf.zip
Blokdyk, G. Factor Analysis. A Complete Guide - 2019 Edition. Emereo Pty Limited, 2019.
Bro, R., and Smilde, A. K. “Principal component analysis“. Analytical Methods, vol. 6, no. 9 (2014): 2812-2831. DOI: https://doi.org/10.1039/C3AY41907J
Comrey, A. L., and Lee, H. B. A First Course in Factor Analysis. Taylor & Francis Group, 2016.
Franco, G. D., and Marradi, A. Factor analysis and principal component analysis. FrancoAngeli, 2013.
Gorsuch, R. L. Factor Analysis: Classic Edition. Routledge, 2014.
Kline, P. An Easy Guide to Factor Analysis. Routledge, 2014.
Sehnbruch, K. “The Quality of Employment (QoE) in nine Latin American countries: A multidimensional perspective“. World Development, art. ID 104738, vol. 127 (2020). DOI: https://doi.org/10.1016/j.worlddev.2019.104738
Vidal, R., Ma, Y., and Sastry, S. Generalized Principal Component Analysis. New York: Springer, 2016.

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