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STS364 Musikhin S.
of the Russian Federation. It should also be noted that Rosstat’s estimates in
12 regions are overestimated by more than 3%. The rest of the regions of the
Russian Federation, in which the Rosstat estimates are more pessimistic than I
received, are few in numbers, where this phenomenon cannot be characterized
in terms of enough representativeness. (with the current level of population
coverage in this survey of Rosstat and low prevalence (or detectability) of this
phenomenon in the whole country)

3. Results
As a result of the analysis, we can conclude that the unacceptability use of
the counting method according to the demographic structure of last year for
the purpose of forming the indicator “Number of employees of enterprises by
verbal agreement (informal employment components), people” at regional
level. This assumption is strongly distorts the results of the LFS. It is advisable
to use new weights of distribution of LFS data immediately after summing up
the demographic structure of the population at the beginning of the current
survey year. It will also provide consistent assessment of the labour force
survey at the country level with the methodology adopted by the International
Labour Organization.

4. Discussion and Conclusion
The issue of disseminating LFS data was raised on the methodological
councils of Rosstat, when discussing indicators of interregional labour
migration in September 2017. But this question did not find support from the
methodological community. The question of the speed of publication of
statistical information and the consistency of the initial estimates throughout
the year in terms of the "employment level" and "unemployment rate" were
more important than the objectivity and accuracy of the methodological
coordination of the data with the final ILO recommendations

References
1. ILO (2018). Global Estimates for International Migrant Workers - Results
and Methodology. 2nd ed. International Labour Office - Geneva: ILO.
2. ILO (2017). Labour Force Estimates and Projections: 1990-2030. 2017 ed.
Methodological description. International Labour Office - Geneva: ILO,
11.2017.
3. Laikam K.E et al. (2017). Reasoning Behind Changes in Calculation of the
Average Monthly Accrued Wages of Employees. Laikam K.E., Zarova E.V.,
Zainullina Z. Zh., Ryzhikova Z.A., Musikhin S.N. Voprosi Statistiki №6 –
Moscow, Russian Federation, 2017, p.3-8.

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