The labor market conjuncture assessment in the digital economy
- 10.2991/mtde-19.2019.46How to use a DOI?
- labor market, demand for labor, labor supply, labor market conjuncture, labor market tension
The article is devoted to the analysis of methodological approaches to the assessment of the labor market conjuncture, which is understood as the labor supply and demand ratio. The theoretical basis of the study is the Equilibrium Unemployment Theory by K. Pissarides. The purpose of the study is comparing the results of calculations indicators obtained by various methods; and the advantages and disadvantages and / or limitations systematization for each of the calculation methods. The author not only described the existing approaches to the calculation of the labor market conjuncture index (labor market tension according to the State Employment service and the hh.Index according to the largest labor portal hh.ru), but also calculated the indicators for Urals Federal District and the included subjects at similar time period. As a result, opposing trends in the labor market state were obtained. This discrepancy required the author's approach development to the labor market conjuncture assessment, which is justified and described in detail in the article. The conclusion is drawn out about the analyzed approaches complementarity; and it is determined also what tasks are going to solve each indicator.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - I.A. Kulkova PY - 2019/05 DA - 2019/05 TI - The labor market conjuncture assessment in the digital economy BT - Proceedings of the 1st International Scientific Conference "Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth" (MTDE 2019) PB - Atlantis Press SP - 236 EP - 239 SN - 2352-5428 UR - https://doi.org/10.2991/mtde-19.2019.46 DO - 10.2991/mtde-19.2019.46 ID - Kulkova2019/05 ER -