Proceedings of the Second Conference on Sustainable Development: Industrial Future of Territories (IFT 2021)

Labour Market Forecasting of the Russian Federation

Authors
Angelina Skobleva*, Irina Eremina, Denis Lysanov
Kazan Federal University, Kazan, Russian Federation
*Corresponding author. Email: skobleva.lina@mail.ru
Corresponding Author
Angelina Skobleva
Available Online 29 November 2021.
DOI
10.2991/aebmr.k.211118.040How to use a DOI?
Keywords
Labour market; Statistical analysis; Forecasting; Employment; Unemployment
Abstract

The labour market is an important indicator of the living standards of the population and the development of the country’s economy. Employment and unemployment indicators are among the key macroeconomic indicators on the basis of which they assess current trends and prospects for economic growth, investment attractiveness of countries and regions, risks and opportunities for business development. The formation and regulation of the labor market is one of the key and acute problems of the market economy. Maintaining the fullest employment is an important objective of the economic and social policies of any State. The aim of the study is to construct a forecast model of employment and unemployment using basic statistical analysis and forecasting methods. The analysis was carried out using the STATISTICA software package. The findings reflected developments in the coming period. As a result of the work, forecast models of employment and unemployment of the population of the Russian Federation were built.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the Second Conference on Sustainable Development: Industrial Future of Territories (IFT 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
29 November 2021
ISBN
978-94-6239-456-8
ISSN
2352-5428
DOI
10.2991/aebmr.k.211118.040How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Angelina Skobleva
AU  - Irina Eremina
AU  - Denis Lysanov
PY  - 2021
DA  - 2021/11/29
TI  - Labour Market Forecasting of the Russian Federation
BT  - Proceedings of the Second Conference on Sustainable Development: Industrial Future of Territories (IFT 2021)
PB  - Atlantis Press
SP  - 219
EP  - 223
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.211118.040
DO  - 10.2991/aebmr.k.211118.040
ID  - Skobleva2021
ER  -