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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ecr-journal</journal-id><journal-title-group><journal-title xml:lang="ru">Экономическая наука современной России</journal-title><trans-title-group xml:lang="en"><trans-title>Economics of Contemporary Russia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1609-1442</issn><issn pub-type="epub">2618-8996</issn><publisher><publisher-name>Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.33293/1609-1442-2021-1(92)-116-133</article-id><article-id custom-type="elpub" pub-id-type="custom">ecr-journal-643</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ В ЭКОНОМИКЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATIONAL TECHNOLOGIES IN ECONOMICS</subject></subj-group></article-categories><title-group><article-title>О моделировании влияния эпидемии COVID-19 на доходы населения</article-title><trans-title-group xml:lang="en"><trans-title>On Assessing the Impact of Coronavirus Epidemic in Russia on Population Incomes</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лебедев</surname><given-names>Валерий Викторович</given-names></name><name name-style="western" xml:lang="en"><surname>Lebedev</surname><given-names>Valery V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д.э.н., главный научный сотрудник</p></bio><email xlink:type="simple">lebedev.guu@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лебедев</surname><given-names>Константин Валерьевич</given-names></name><name name-style="western" xml:lang="en"><surname>Lebedev</surname><given-names>Konstantin V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>к.э.н., заместитель директора</p></bio><email xlink:type="simple">kos.lebedev@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Центральный экономико-математический институт РАН, Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Институт регионального развития и анализа ФГАОУ ДПО «Академия Минпросвещения России», Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Regional Development and Analysis of the Federal State Autonomous Educational Institution of Higher Professional Education “Academy of the Ministry of Education of Russia”, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>02</day><month>01</month><year>2021</year></pub-date><volume>0</volume><issue>1</issue><fpage>116</fpage><lpage>133</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Лебедев В.В., Лебедев К.В., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Лебедев В.В., Лебедев К.В.</copyright-holder><copyright-holder xml:lang="en">Lebedev V.V., Lebedev K.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.ecr-journal.ru/jour/article/view/643">https://www.ecr-journal.ru/jour/article/view/643</self-uri><abstract><p>В работе обсуждается подход к оценке влияния эпидемии COVID‑19 в России на экономическую эффективность и, как следствие, на денежные доходы населения страны. Используемый подход основан на применении методологии математического моделирования. На основе анализа статистической информации показано, что существует корреляция динамики среднедушевых доходов населения и ВВП. Для оценки динамики ВВП построена динамическая модель влияния ограничительных мер, направленных на сдерживание распространения эпидемии COVID‑19, на макроэкономическую эффективность. Основная гипотеза модели заключается в том, что главным фактором, влияющим на эффективность экономики, является производительность труда работников, создающих конечный продукт. В построенной модели все работники разделены на три группы. Первая группа – ​работники, на деятельность которых COVID‑19 не повлиял; вторая группа – ​работники, производительность труда которых снизилась из-за COVID‑19; третья группа – ​работники, производительность труда которых полностью или частично восстановилась после смягчения ограничительных мер. В результате динамика ВВП задается системой трех обыкновенных дифференциальных уравнений, значения параметров которой зависят от эпидемио­логической ситуации. Для оценки показателей, характеризующих распространение инфекции и влияющих на параметры модели макроэкономической эффективности, построена дискретная модификация классической SIR-модели эпидемии с кусочно-постоянными параметрами. Эта модель позволила оценить динамику средних за четыре дня значений основного репродуктивного числа и других показателей распространения инфекции на основе использования официальной статистической информации в базовом периоде, а также выполнить сценарные расчеты развития эпидемии в Москве и вне ее до июля 2021 г. Разработанная модификация модели SIR допускает ее уточнение, связанное с учетом влияния вакцинации населения на динамику эпидемиологического процесса.</p></abstract><trans-abstract xml:lang="en"><p>The paper discusses an approach to assessing the impact of the coronavirus epidemic in Russia on economic efficiency and, as a result, on the monetary income of the country's population. The approach used is based on the application of the methodology of mathematical modeling. Based on the analysis of statistical information, it is shown that there is a correlation between the dynamics of the average per capita income of the population and GDP. To assess the dynamics of GDP, a dynamic model of the impact of restrictive measures aimed at curbing the spread of the coronavirus epidemic on macroeconomic efficiency is constructed. The main hypothesis of the model is that the main factor affecting the efficiency of the economy is the productivity of workers who create GDP. In the constructed model, all employees are divided into three groups. The first group – ​workers whose activities were not affected by the coronavirus; the second group-workers whose productivity decreased due to the coronavirus; the third group-workers whose productivity fully or partially recovered after the easing of restrictive measures. As a result, the dynamics of GDP is determined by a system of three ordinary differential equations with parameters depended on the epidemiological situation. To assess the indicators that characterize the spread of infection and affect the parameters of the macroeconomic efficiency model, a discrete modification of the classical SIR-model of the epidemic with piecewise constant parameters is constructed. This model allowed us to estimate the dynamics of the average for the four day values of the basic reproductive numbers and other indicators of spread of infection through the use of official statistical information in the base period, and to perform scenario calculations for the development of the epidemic in Moscow and beyond until July 2021 Developed modification of the SIR model allows for its clarification with regard to the influence of vaccination on the dynamics of epidemiological process.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>среднедушевые денежные доходы</kwd><kwd>динамика ВВП</kwd><kwd>эпидемия COVID‑19</kwd><kwd>экономическая эффективность</kwd><kwd>математическое моделирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>average per capita monetary income</kwd><kwd>GDP dynamics</kwd><kwd>coronavirus epidemic</kwd><kwd>economic efficiency</kwd><kwd>mathematical modeling</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена при финансовой поддержке Российского фонда фундаментальных исследований (проект № 19-010-00921).</funding-statement><funding-statement xml:lang="en">The work was accomplished with financial support of Russian Foundation for Basic Research (project no. 19-010-00921).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Аганбегян А. 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