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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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Неравенство и денежно-кредитная политика в модели с тремя группами домохозяйств

Журнал Новой экономической ассоциации. 2026. № 1(70). С. 115–156.
Вихарев П. Л., Novak A., Shulgin A. G.

The paper examines the mutual infl uence of inequality and monetary policy. The THRANK (Three Agent New Keynesian) model introduces the heterogeneity of households in terms of access to the fi nancial market and the size of the subjective discount. The model parameters are calibrated and evaluated based on microdata (RLMS–HSE) and macro- statistics of the Russian Federation. We have identifi ed the shocks of inequality and found that the mutual impact of inequality of consumption and monetary policy is quite weak. A 1 percentage point increase in the Gini index due to inequality shocks leads to a 0.1 percentage point increase in the interest rate. An increase in the interest rate by 1 percentage point in the case of a monetary policy shock leads to an increase in the Gini index by 0.1 percentage points. We have shown that the shocks of inequality associated with the consumption of richer group of households in relation to the consumption of the middle income group cause a more persistent response of all variables. Shocks related to the consumption of poorer group of households relative to the consumption of the middle group have a less persistent but more signifi cant impact on output. The paper demonstrates that a single integral indicator of inequality may be employed to study its role in the business cycle.

Research target: Economics and Management
Language: Russian
DOI
Text on another site
Keywords: Dynamic stochastic general equilibrium modeling (DSGE)DSGE-моделированиеEconomic inequalityЭкономическое неравенствоMonetary policyhousehold’s heterogeneityДенежно-кредитная политикаГетерогенность домохозяйств
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