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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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APC-моделирование связи коэффициентов рождаемости по очередности рождения с экономическими шоками в России

Журнал Новой экономической ассоциации. 2024. № 3(64). С. 84–102.
Vakulenko E., Рыжкина А. Е.

The article is devoted to the study of the relationship between economic shocks and the fertility rate of first, second and third children in Russia using Age-Period-Cohort (APC) models. There were considered annual data for 39 regions of the Russian Federation for the period from 2004 to 2021, the sources were Rosstat and the Russian Database of Fertility and Mortality CDR NES. In this work, for the first time, the most advanced APC modeling method is used on Russian data - an approach based on mechanisms of interaction between variables (Mechanism-based approach), the implementation of which is carried out using intermediate variables (mediators) to identify the effects of age, period and cohort in dynamics of fertility and identifying causal relationships. As such mediators for the cohort effect, the ratio of marriages and divorces was used, for the last period effect (a year earlier) - the unemployment rate (total, male and female), as well as an intermediate mediator of the year before last period effect - investment in fixed capital. In addition, we assessed the impact on fertility of proxy variables of the last period effect: federal and regional maternity capital programs, as well as oil and gas revenues of the federal budget. To check the stability of the results Intrinsic Estimator method was used, which allows us to decompose the fertility indicator into the effects of age, period and cohort. The results of the study showed that there is a direct relationship between the fertility rate of children of the considered orders and economic shocks that correspond to the last and year before last period effects.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: рождаемостьнефтегазовые доходыfertilityматеринский капиталуровень безработицыunemployment ratematernity capitaloil and gas revenuesbirth order of childrennegative economic shocksAPC modelingпорядок рождений детейотрицательные экономические шокиAPC-моделирование
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