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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Economics and Mathematical Methods</journal-id><journal-title-group><journal-title xml:lang="en">Economics and Mathematical Methods</journal-title><trans-title-group xml:lang="ru"><trans-title>Экономика и математические методы</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0424-7388</issn><issn publication-format="electronic">3034-6177</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">653301</article-id><article-id pub-id-type="doi">10.31857/S0424738824020054</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Problems of national economy</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Народнохозяйственные проблемы</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Modeling of pension income and expenditures based on the Verhulst equation and polynomial regression with demographic projections</article-title><trans-title-group xml:lang="ru"><trans-title>Моделирование пенсионных доходов и расходов на основе уравнения Ферхюльста и полиномиальной регрессии с демографическими прогнозами</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Suo</surname><given-names>S.</given-names></name><name xml:lang="ru"><surname>Со</surname><given-names>С.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>sisuo1997@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Kostyrin</surname><given-names>E. V.</given-names></name><name xml:lang="ru"><surname>Костырин</surname><given-names>Е. В.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>kostyrinev@bmstu.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Bauman Moscow State Technical University (National Research University)</institution></aff><aff><institution xml:lang="ru">МГТУ имени Н. Э. Баумана (НИУ)</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-09-04" publication-format="electronic"><day>04</day><month>09</month><year>2024</year></pub-date><volume>60</volume><issue>2</issue><fpage>50</fpage><lpage>66</lpage><history><date date-type="received" iso-8601-date="2025-02-03"><day>03</day><month>02</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Российская академия наук</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0424-7388/article/view/653301">https://journals.eco-vector.com/0424-7388/article/view/653301</self-uri><abstract xml:lang="en"><p>To calculate the demographic load factor in this work, the forecasting of the working-age population of Russia was carried using the polynomial regression equation of the fourth degree with an accuracy of 0.227% and forecasting the number of people older than working age using the Verhulst equation (prediction accuracy of 1.084%) for the period from 2023 to 2031 (9 years). An economic and mathematical model was developed for calculating pension income and expenses for the implementation of individual (personalized) pension accounts of citizens and a stress analysis of the model was carried out based on an assessment of the impact of the pension contribution rate, average monthly salary, average investment income rate for transactions with pension funds of citizens (rate of return) and growth rates salaries, ensuring a balance between pension income and pension expenses of citizens. The practical implementation of the developed economic and mathematical model shows that the minimum value of the rate of return, ensuring balance between pension income and pension expenses of citizens, is 1.408%. The minimum average monthly salary is 22,949.39 rubles; the contribution rate to the Pension fund is estimated at 18.813%.</p></abstract><trans-abstract xml:lang="ru"><p>Для расчета коэффициента демографической нагрузки в данной работе осуществлено прогнозирование численности населения России трудоспособного возраста с помощью уравнения полиномиальной регрессии четвертой степени с точностью 0,227% и прогнозирование численности населения старше трудоспособного возраста с помощью уравнения Ферхюльста (точность прогнозирования 1,084%) на период с 2023 по 2031 г. (9 лет). Разработана экономико-математическая модель для расчета пенсионных доходов и расходов граждан при внедрении индивидуальных (персонифицированных) пенсионных счетов граждан, учитывающая прогнозные значения коэффициента демографической нагрузки, и осуществлен стресс-анализ модели на основе оценки влияния ставки пенсионных взносов, среднемесячной заработной платы, средней ставки инвестиционного дохода по операциям с пенсионными средствами граждан (нормы доходности) и темпов роста заработной платы, при которых обеспечивается сбалансированность пенсионных поступлений и расходов на пенсию граждан. Практическая реализация разработанной экономико-математической модели показала, что минимальное значение нормы доходности, при котором обеспечивается сбалансированность пенсионных поступлений и расходов на пенсию граждан, равно 1,408%; минимальная среднемесячная заработная плата составляет 22 949,39 руб.; ставка взносов в СФР на пенсионное обеспечение оценивается в размере 18,813%.</p></trans-abstract><kwd-group xml:lang="en"><kwd>Verhulst equation</kwd><kwd>polynomial regression</kwd><kwd>population size</kwd><kwd>demographic load factor</kwd><kwd>pension contribution rate</kwd><kwd>salary</kwd><kwd>pension</kwd><kwd>personalized retirement account</kwd><kwd>rate of return</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>уравнение Ферхюльста</kwd><kwd>полиномиальная регрессия</kwd><kwd>численность населения</kwd><kwd>коэффициент демографической нагрузки</kwd><kwd>ставка пенсионных взносов</kwd><kwd>заработная плата</kwd><kwd>пенсия</kwd><kwd>персонифицированный пенсионный счет</kwd><kwd>норма доходности</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Алексашенко С. 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