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BUSINESS INFORM №7-2018

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17

Section: Economic and Mathematical Modeling
UDC 331.5:330.59:517
Makhsma M. B., Voloshchuk S. D.
Mathematical Modeling of the Relationship between Employment and Living Standards of the Rural Population (p. 109 - 115)

The article is aimed at building a econometric model of the relationship between employment of the rural population of Ukraine and its standard of living, as well as studying the possibilities of using the model to substantiate measures for the improvement. To simulate such a relationship, the number of employed rural population of working age is taken as a performance indicator. On the basis of correlation analysis of structural relations the factors influencing the employment are determined. It is proved that significantly influencing variables are the following: number of general daytime education institutions, number of children in preschool institutions, number of libraries and club establishments. The performed check of the model confirmed its adequacy and statistical significance of factor attributes. It is substantiated that development of objects of rural social infrastructure will help to increase employment and living standards in rural areas.
Keywords: employment, standard of living, rural population, econometric model.
Fig.: 1. Tabl.: 2. Formulae: 2. Bibl.: 10.

Makhsma Mariia B. – Doctor of Sciences (Economics), Associate Professor, Associate Professor, Department of Personnel Management and Labour Economics, Kyiv National Economic University named after V. Hetman (54/1 Peremohy Ave., Kyiv, 03057, Ukraine)
Email: [email protected]
Voloshchuk Sergii D. – Candidate of Sciences (Physics and Mathematics), Associate Professor, Associate Professor, Department of Economics and Mathematical Modeling, Kyiv National Economic University named after V. Hetman (54/1 Peremohy Ave., Kyiv, 03057, Ukraine)
Email: [email protected]

Article is written in Ukrainan
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Reference to this article:
Makhsma, Mariia B., and Voloshchuk, Sergii D. (2018) “Mathematical Modeling of the Relationship between Employment and Living Standards of the Rural Population.” Business Inform 7:109–115.


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