title: Modeling the influence of social factors on the dynamics of gray wages
metadata.name: dc.contributor.author
metadata.value: Kunitsyna, Natalia N.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Metel, Yuri A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-12-17T15:45:27Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-12-17T15:45:27Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Kunitsyna, N. N. and Metel, Yu. А. (2024) ‘Modeling the influence of social factors on the dynamics of gray wages’, St. Petersburg University Journal of Economic Studies, 40 (3), pp. 460–482. https://doi.org/10.21638/spbu05.2024.306 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu05.2024.306
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/48164
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The problem of whitewashing wages of a significant share of Russians escalated during the
  pandemic, post-covid recovery and, especially, against the background of geopolitical shocks. The unprecedented expansion of state support measures provided targeted and officially has
  prompted entrepreneurs and citizens to get out of the shadows. Despite the obvious positive
  changes, the problem of salaries “in envelopes” has not eradicated itself: in modern publications,
  scientists return to it repeatedly. When assessing this socio-economic phenomenon,
  science relies mainly on methods of regression, panel analysis, instrumental variables, etc. In
  this work to assess the influence of social factors on the dynamics of gray wages we used the
  gradient boosting method, linear modeling, random forest and a naive Bayesian classifier. As
  the initial information, we used the results of the surveys of the Russian Monitoring of the
  Economic Situation and Health of the Population by Higher School of Economics, which are
  freely available. The result of the simulation is the dependence of the receiving wages method
  (official, “in an envelope”) on a number of factors. The organization’s industry affiliation, size,
  ownership, employee’s education, duration of vacation, satisfaction with professional growth
  and working conditions have the strongest influence. The applied value of the results obtained
  is the possibility of generating control effects, both at the state level and at the level of business
  entities in the direction of leveling the identified reasons for receiving gray salaries and reducing
  the scale of the hidden wage fund.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: St Petersburg University Journal of Economic Studies;Volume 40; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: salary
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: gray salary
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: gradient booster
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: linear models
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: random forest
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Modeling the influence of social factors on the dynamics of gray wages
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 06.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/48164/1/06.pdf
resources.format: Adobe PDF
resources.size: 1,83 MB