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; Inessa Sannikova

Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy

Authors

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

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 labour 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.

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Published

2016-04-19

How to Cite

Potekhina, N., Shulinina, Y., Kuzmina, N., Potalisina, L., & Sannikova, I. (2016). Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. International Journal of Economics and Financial Issues, 6(2), 617–620. Retrieved from https://econjournals.com/index.php/ijefi/article/view/1947