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  • Рождаемость в России: тенденции, оценка действительного уровня и интерпретация изменений за последние десятилетия
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July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.
July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.

 

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Рождаемость в России: тенденции, оценка действительного уровня и интерпретация изменений за последние десятилетия

Гл. 4. С. 125–168.
Zakharov S. V., Soroko E. L.

The chapter is devoted to various approaches to assessing the total fertility for conventional and real generations. The fundamental conclusion from the analysis of various indicators of the total fertility in dynamics over several decades is as follows: the average level of the cohort total fertility rate (CTFR) in Russia, both over the past four decades and over the past two decades, has not changed much, despite the large fluctuations demonstrated by the period total fertility rate. fertility rate (PTFR) is the most common indicator used to assess the current level of fertility, and is a target indicator of the state demographic policy in Russia. The “true” average fertility rate of women who participated in the reproduction of the population of Russia in the period from 1979 to 2018 was 1.7 live births per woman with very insignificant fluctuations over the years and periods. Changes in the value of the usual period TFR (for calendar years) were determined almost exclusively by changing tempo of family formation or, otherwise, by significant shifts in the timing of births among Russians born in the 1960s and 1980s, both due to long-term changes (transition to a later marriage and the beginning of childbearing) and and under the influence of the changing socio-economic and political environment, which influenced the rate of transformation of the age profile of fertility and changes in birth intervals. It can be said with a high degree of confidence that in the foreseeable future Russia will remain within the range of TFR variation for developed countries, gravitating towards of 1.6–1.7 births per woman

Language: Russian
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Keywords: рождаемостьfertilityитоговая рождаемость условных и реальных поколенийperiod and cohort total fertilitycompleted fertility
Publication based on the results of:
Demographic and migration processes in Russia in historical and international context in the light of new methodological approaches (2019)

In book

Население России 2018: двадцать шестой ежегодный демографический доклад
Население России 2018: двадцать шестой ежегодный демографический доклад
М.: Издательский дом НИУ ВШЭ, 2020.
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