Correlational-regression Analysis Application for the Forecast of the Specialists with Higher Education Requirement in Russian Economy

Nina Potekhina, Yulia Shulinina, Natalia Kuzmina, Ludmila Potalisina and Inessa Sannikova
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Nina Potekhina: Department of Management, National Research Tomsk Polytechnic University, Tomsk, Russia
Yulia Shulinina: Department of Management, National Research Tomsk Polytechnic University, Tomsk, Russia
Natalia Kuzmina: Department of Management, National Research Tomsk Polytechnic University, Tomsk, Russia
Ludmila Potalisina: Department of Economics, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia
Inessa Sannikova: Department of Management, National Research Tomsk Polytechnic University, Tomsk, Russia

International Journal of Economics and Financial Issues, 2016, vol. 6, issue 2, 617-620

Abstract: The present study was intended to investigate a hypothesis about the impact of the following parameters: Dynamics of gross domestic product, dynamics of fixed assets, dynamics of labor productivity, dynamics of the level of remuneration and dynamics of fixed asset investments on the number of employees with higher education in Russia. The correlational-regression analysis confirmed the influence of dynamics of fixed assets on the number of employees with higher education. Also authors have generated the forecast about future demand for specialists with higher education and dynamics of fixed assets for the period from 2015 to 2025 years

Keywords: Correlation Analysis; Regression Analysis; Forecast of the Specialists with Higher Education (search for similar items in EconPapers)
JEL-codes: C10 J24 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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