Artem Volgin1, Vladimir Gimpelson2
  • 1 The University of Manchester, Oxford Rd, Manchester, M139PL, UK
  • 2 National Research University Higher School of Economics, 20 Myasnitskaya Str., Moscow, 101000, Russian Federation

Demand for Skills: Analysis Using Online Vacancy Data

2022. Vol. 26. No. 3. P. 343–374 [issue contents]
Ultimate essence of the human capital is in what workers know and what they are able to do, or in their productive skills. This study explores demand for various occupational and social skills in the Russian economy. Job structure and demand for skills posted by employers reflect technological level of the economy and its structure. However, the structure of demand for skills is observed poorly, if we rely on traditional data sources. In this study, we derive the information from vacancy ads posted on the website of one of the leading Russian internet job search boards during 2019–2020. Our sample consists of roughly 3.5 million ads, containing explicit sets of skills expected from successful job candidates. We select skills from job ads relying on key words and then aggregate them in groups. As the next step, we rank all aggregate skills groups and discuss their frequencies, taking into account their complementarity. Further on, we regress wages offered in ads on skills and controls, thus getting a skill premium for each skill group and their bundles. Many skills are complementary to each other and their combination in­ creases the premium. Our results suggest that social and client oriented skills as well as medium level occupational skills are in the highest demand on the Russian labor market.
Citation: Volgin A., Gimpelson V. (2022) Spros na navyki: analiz na osnove onlayn dannykh o vakansiyakh [Demand for Skills: Analysis Using Online Vacancy Data]. HSE Economic Journal , vol. 26, no 3, pp. 343-374 (in Russian)
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