EconPapers    
Economics at your fingertips  
 

Digital Skills: Classification, Empirical Estimates of the Demand

Sergey Kapelyuk () and Ilya Karelin

MPRA Paper from University Library of Munich, Germany

Abstract: We provide a review of the various approaches used in the literature to classify digital skills. Utilizing this classification, we conduct an empirical analysis to estimate the demand for digital skills and the wage premium for digital skills in the Russian labor market. Our study uses an extensive dataset of 8 million vacancies posted on the Unified Digital Platform "Work in Russia" from 2018 to 2022. The uniqueness of this dataset lies in the specification of wage data in over 99 percent of the vacancies. The demand for digital skills is determined through the automated processing of employer requirements outlined in job postings. We explore the advantages and limitations of different indicators of digital skills demand and suggest the ratio of vacancies requiring digital skills to the labor force as the most appropriate measure. The findings reveal substantial regional differentiation in the employer’s demand for all groups of digital skills in Russia. Regions with a higher level of economic development tend to have increased requirements for digital skills. Digital skills are more frequently required in regions characterized by higher economic development and those with a focus on natural resources. Of the federal districts, the North Caucasian Federal District stands out with a substantially lower demand for digital skills. A positive wage premium is associated only with advanced and professional digital skills.

Keywords: human capital; digital skills; digital skills classification; vacancies; labor demand; wage premium; labor force; regional differentiation (search for similar items in EconPapers)
JEL-codes: J23 J24 R10 (search for similar items in EconPapers)
Date: 2023-12-24
New Economics Papers: this item is included in nep-cis and nep-lma
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/119644/1/MPRA_paper_119644.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:119644

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2024-12-28
Handle: RePEc:pra:mprapa:119644