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Subject
News
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.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Российский мониторинг экономического положения и здоровья населения НИУ ВШЭ: особенности методологии, принципы организации, исследовательские возможности

Мониторинг общественного мнения: Экономические и социальные перемены. 2026. № 1. С. 40–64.
Dorofeeva Z., Kozyreva P. M., Kosolapov M. S., Тонис Е. И.

The article examines the method-ology, organizational principles, and research potential of the «Russian Longitudinal Monitoring Survey — HSE (RLMS-HSE)». It describes the sample structure, its design features, and size dynamics, including expansion and reduction of the sample. The article focuses on the formation of the pure panel part of the sample, with special emphasis on respondent attrition across the 30-year survey period. It is shown that the mechanisms of this process are not random; certain groups systematically leave the panel more actively than others. For instance, the proportion of men leaving the study is consistently higher than that of women. Another significant factor is age; the age group most "retained" in the sample con-sists of respondents who were between 31 and 45 years old in 1994. Rural residents are more likely to be among those participating in the survey for 25 years or longer. Weighting as one of the most common and accessible methods is considered as an example for correcting sample bias. Meanwhile, the analysis of sampling errors in RLMS-HSE shows that bias in representative samples of each consecutive round is minor. The article presents examples of studies using the panel component of the data along with the broad set of socio-eco-nomic indicators and demonstrate the extensive potential of RLMS-HSE, including its applications in the field if interdisciplinary research.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: панельные данныеRLMS-HSEРМЭЗ НИУ ВШЭlongitudinal surveysлонгитюдные обследования panel datadata representativespanel attritionsample biasрепрезентативность данных осыпание панелисмещение выборки
Publication based on the results of:
Monitoring the socio-economic conditions of households in Russia, 1994-2026 (2027)
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Added: November 6, 2025
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