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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Внедрение новых международных стандартов статистики неформальной экономики в практику Росстата: проблемы и перспективы

Экономический журнал Высшей школы экономики. 2026. Т. 30. № 2. С. 313–343.
Lukyanova A., Demyanova A., Talakauskas D.

The paper examines methodological challenges of measuring informality following major revisions of international statistical standards. It analyses the Resolution concerning statistics on the informal economy adopted by the 21st International Conference of Labor Statisticians (2023) and offers practical recommendations for implementing this framework in the official statistics of the Russian Federation (Rosstat). Methodologically, the study includes a review of how international guidelines have developed, a comparison of current Rosstat’s practices with the new requirements, and empirical estimations based on microdata from the 2025 Labor Force Survey.

The analysis highlights four key changes in the measurement standards: (1) a clear procedure for classification of economic units into the formal sector, the informal sector, and the household own-use and community sector; (2) the integration of employment status categories from the International Classification of Status in Employment (ICSE-18) into the measurement of informality; (3) revised operational criteria for sector identification, notably removing enterprise size as a main criterion for defining the formal status of an economic unit and classifying an economic unit as formal if it employs at least one worker in a formal job; (4) the use of employer social insurance contributions as the main criterion for identifying formal employment, with access to paid annual and sick leave serving as supplementary criteria.

The authors demonstrate that Rosstat's current definition of the informal sector is too broad relative to modern international standards, leading to an overestimation of employment in this sector. The main issue is automatic classification of all engaged in entrepreneurial activities into the informal sector. In our opinion, registered individual entrepreneurs and their employees should be assigned to the formal sector. Preliminary estimates suggest that adopting the new standards could reduce the measured share of employment in the informal sector by approximately one-third. The paper also emphasizes the importance of shifting focus from enterprise-based measures (employment in the informal sector) to worker-centered measures (informal employment), which better reflect job quality and economic risks held by workers.

Research target: Economics and Management Other social sciences
Language: Russian
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DOI
Text on another site
Keywords: Росстатнеформальная занятостьнеформальный секторМОТRosstatinformal sectorILOinternational statistical standardsмеждународные статистические стандарты informal employmentобследование рабочей силыLabor Force Survey
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