Main Mechanisms of Involvement in the Informal Employment of Various Socio-Demographic Population Groups

Tyumen State University Herald. Social, Economic, and Law Research


2017, Vol. 3. №2

Main Mechanisms of Involvement in the Informal Employment of Various Socio-Demographic Population Groups

For citation: Tarasova A. N., Andrianova E. V. 2017. “Main Mechanisms of Involvement in the Informal Employment of Various Socio-Demographic Population Groups”. Tyumen State University Herald. Social, Economic, and Law Research, vol. 3, no 2, pp. 53-65. DOI: 10.21684/2411-7897-2017-3-2-53-65

About the authors:

Anna N. Tarasova, Cand. Sci. (Soc.), Associate Professor, Department of Sociology and Technology of State and Municipal Management, Ural Federal University (Yekaterinburg); ORCID: 0000-0002-9448-2893, Scopus Author ID: 57201826388, WoS ResearcherID: B-1811-2017, SPIN: 1228-4836,

Elena V. Andrianova, Cand. Sci. (Soc.), Head of Department of General and Economic Sociology, Institute of Finance and Economics, University of Tyumen; Senior Researcher, West-Siberian Branch of the Federal Research Sociological Center of the Russian Academy of Sciences (Tyumen);; ORCID: 0000-0002-7769-9206


This article studies the problem of involving the population of Russia in informal employment. Based on analysis of social and demographic characteristics of informally busy workers and features of their labor motivation, the main mechanisms of involvement in informal employment are described. First of all, it is discrimination of workers, who are driven out of labor market, and the second reason is entrepreneurial intention to avoid expenses of “law-abiding”. Accordingly, each of these mechanisms constitutes specific cluster of informally busy workers. Specification of the clusters is also made. The empirical base of the work was the data of monitoring sociological surveys 2006-2016, with a sample size of at least 1,500 people. The representativeness of the research is guaranteed by the exact matching of the sample structure to the structure of the general population in terms of sex, age, type of settlement (town/village) and education. A sampling error of one criterion is less than 3%.


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