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News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Что общего в динамике коронавирусной пандемии в странах «большой экономики»?

Вопросы статистики. 2023. Т. 30. № 3. С. 64–79.
Chetverikov V., Пугачева О. В., Vorontsova T.

The authors analyze the dynamics of infected and deceased from the coronavirus pandemic over 148 weeks in the «large economies» (24 countries). According to the authors, a large economy is a country that, at least within one year from 1980 to 2019, produced more than 1% of the global GDP. Although the organization of the health care system in these countries is different, only the general requirements of WHO could provide information on the spread of the pandemic in comparable formats. The change from daily data on the number of infected and deceased to weekly data on these indicators (per 1 million persons of the country's population) made it possible, firstly, to exclude insignificant daily fluctuations of these indicators and, secondly, to obtain information in comparable values for countries with widely differing populations. The paper demonstrates that the frequently used comparison of countries by such integral indicators as the number of infected and deceased at a particular time is not very informative. It is due to the fact that, over time, country-specific circumstances change dramatically. Nevertheless, it was precisely the introduction for analytical purposes of such characteristics as weekly increment peaks of infected people and weekly increment peaks of deceased that made it possible to identify the four features. First, the number of those peaks is small for all countries: from 5 to 9 over 148 weeks. Second, these peaks cover between 70 and 90 percent of the totals of the integral number of infected and deceased in a given country. Third, most peaks of the infected are accompanied by peaks of the deceased with some delay: from zero to six weeks, but in most cases by two weeks, which is consistent with clinical observations. Fourth, the peaks of infected people in all 24 countries exhibit the statistical property of being quasi-synchronous (the so-called property of the maximums of these peaks to fall within predetermined intervals of weeks with probabilities that are the same for all countries). This fact is proved using the mathematical homogeneity criterion χ2.

Research target: Mathematics
Language: Russian
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Keywords: темпы ростамеждународные сравнениядемографическая статистикаinternational comparisonsintegral indicatorинтегральные показателиdemographic statisticsgrowth rateкритерий однородностиcoronavirus pandemicmathematical and statistical methodsматематико-статистические методыhomogeneity criterion quasi-synchronizationквазисинхронизациякоронавирусная пандемия
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