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

Cilt: 6 Sayı: 2 1 Nisan 2016
  • Nina Potekhina
  • Yulia Shulinina
  • Natalia Kuzmina
  • Ludmila Potalisina
  • İnessa Sannikova
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Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy

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.

Keywords

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Nina Potekhina Bu kişi benim

Yulia Shulinina Bu kişi benim

Natalia Kuzmina Bu kişi benim

Ludmila Potalisina Bu kişi benim

İnessa Sannikova Bu kişi benim

Yayımlanma Tarihi

1 Nisan 2016

Gönderilme Tarihi

1 Nisan 2016

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2016 Cilt: 6 Sayı: 2

Kaynak Göster

APA
Potekhina, N., Shulinina, Y., Kuzmina, N., Potalisina, L., & Sannikova, İ. (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. https://izlik.org/JA99TR67RG
AMA
1.Potekhina N, Shulinina Y, Kuzmina N, Potalisina L, Sannikova İ. Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. IJEFI. 2016;6(2):617-620. https://izlik.org/JA99TR67RG
Chicago
Potekhina, Nina, Yulia Shulinina, Natalia Kuzmina, Ludmila Potalisina, ve İnessa Sannikova. 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): 617-20. https://izlik.org/JA99TR67RG.
EndNote
Potekhina N, Shulinina Y, Kuzmina N, Potalisina L, Sannikova İ (01 Nisan 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.
IEEE
[1]N. Potekhina, Y. Shulinina, N. Kuzmina, L. Potalisina, ve İ. Sannikova, “Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy”, IJEFI, c. 6, sy 2, ss. 617–620, Nis. 2016, [çevrimiçi]. Erişim adresi: https://izlik.org/JA99TR67RG
ISNAD
Potekhina, Nina - Shulinina, Yulia - Kuzmina, Natalia - Potalisina, Ludmila - Sannikova, İnessa. “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 (01 Nisan 2016): 617-620. https://izlik.org/JA99TR67RG.
JAMA
1.Potekhina N, Shulinina Y, Kuzmina N, Potalisina L, Sannikova İ. Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. IJEFI. 2016;6:617–620.
MLA
Potekhina, Nina, vd. “Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy”. International Journal of Economics and Financial Issues, c. 6, sy 2, Nisan 2016, ss. 617-20, https://izlik.org/JA99TR67RG.
Vancouver
1.Nina Potekhina, Yulia Shulinina, Natalia Kuzmina, Ludmila Potalisina, İnessa Sannikova. Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. IJEFI [Internet]. 01 Nisan 2016;6(2):617-20. Erişim adresi: https://izlik.org/JA99TR67RG