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News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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Рутинность и риски автоматизации на российском рынке труда

Вопросы экономики. 2022. № 8. С. 68–94.
В. Е. Гимпельсон, Р. И. Капелюшников

The study explores routine and non-routine content of job tasks across occupations
in the Russian labor market. Each occupation contains a bundle of job
tasks, which can be routine or non-routine, cognitive or manual. Occupations, in
which most job tasks are routine, are under the risk of automation, and therefore
their future is of concern. Our empirical analysis uses three main data sources
that contain information in the detailed occupational breakdown: on employment,
on the extent of routinization, and on annual labor incomes. This data
set allows to estimate task indices for disaggregated occupations and different
socio-economic groups and also present empirical estimates of wage penalties
and premiums for workers with different job content. The calculations suggest
that the proportion of jobs in which routine tasks tend to prevail is not large
and hardly exceeds 10%. From this follows that a massive substitution of labor
by machines or AI in foreseeable future does not look like a plausible option.
Content of job tasks is expectedly associated with the level of pay: workers with
non-routine cognitive tasks are better rewarded, and non-routine manual tasks
are the most penalized. A polarization scenario feared by some observers does
not seem a likely option in Russia for years to come.

Research target: Economics and Management
Language: Russian
Full text
DOI
Text on another site
Keywords: рынок трудаРоссияпрофессииRussiaавтоматизацияlabor marketoccupationsautomatization
Publication based on the results of:
Structural Changes in the Labor Market: Results of the Last Decade (2022)
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