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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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Heterogeneous effects of individual socio-economic characteristics and regional environmental conditions on self-reported health

Economy of Regions. 2022. Vol. 18. No. 3. P. 687–698.
Liudmila A. Leonova, Valeriya V. Lakshina, Anna S. Aladyshkina

Health is a comprehensive phenomenon with many determinants. The influence of environmental
conditions on human health poses challenges for public health scientists. One of the main issues is the availabil-
ity and relevance of the data on public health, including such indicators as morbidity and decease prevalence. In
this study, we overcome this obstacle by using micro data on self-reported health from the Russia Longitudinal
Monitoring Survey of Higher School of Economics. The study analyses the influence of environmental condi-
tions on individual self-rated health in Russia, taking into account the heterogeneity of coefficients among self-
rated health levels. We used generalised ordered probit model with random effects and embedded procedure for
parallel line assumption violation testing. The characteristics of air, water and the quantity of pollutants in each
region were considered as independent factors. The study showed significant negative influence of environmen-
tal factors on self-rated health throughout Russia. It is also demonstrated that higher self-rated health estimates
are given by respondents whose level of education is no lower than that of vocational or trade school, who are
married, and who are regularly engaged in physical activity. The results obtained can be used to improve re-
gional state programmes aimed at improving the quality of life of the population in groups with different levels
of health, for example, to the development and targeting of a set of health policy measures. Additionally, these
findings can be utilised in programmes to improve the quality of the environment, which can increase the over-
all level of self-assessment of health in a particular region.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: окружающая средаenvironmentRLMS-HSEзагрязнениегетерогенностьheterogeneityRLMS-HSEсоциально-демографические факторыpollutionself-rated healthsocioeconomic factorsсамооценки здоровьяsociodemographic factors
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