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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">finance</journal-id><journal-title-group><journal-title xml:lang="ru">Финансы: теория и практика/Finance: Theory and Practice</journal-title><trans-title-group xml:lang="en"><trans-title>Finance: Theory and Practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-5671</issn><issn pub-type="epub">2587-7089</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2587-5671-2022-26-4-199-210</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-1736</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>МАТЕМАТИЧЕСКИЕ И ИНСТРУМЕНТАЛЬНЫЕ МЕТОДЫ ИССЛЕДОВАНИЯ В ЭКОНОМИКЕ</subject></subj-group></article-categories><title-group><article-title>Проверка закона Оукена на российских данных</article-title><trans-title-group xml:lang="en"><trans-title>Verification of Okun’s Law on Russian Data</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2458-7419</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Зайцев</surname><given-names>Ю. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Zaitsev</surname><given-names>Yu. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юрий Константинович Зайцев - кандидат экономических наук, старший научный сотрудник, Институт прикладных экономических исследований РАНХиГС</p><p>Москва</p></bio><bio xml:lang="en"><p>Yuri K. Zaitsev - Cand. Scu. (Econ.), Senior Research Fellow</p><p>Moscow</p></bio><email xlink:type="simple">yuriy.zaitsev@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт прикладных экономических исследований РАНХиГС</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Applied Economic Research RANEPA</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>11</day><month>09</month><year>2022</year></pub-date><volume>26</volume><issue>4</issue><fpage>199</fpage><lpage>210</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Зайцев Ю.К., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Зайцев Ю.К.</copyright-holder><copyright-holder xml:lang="en">Zaitsev Y.K.</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://financetp.fa.ru/jour/article/view/1736">https://financetp.fa.ru/jour/article/view/1736</self-uri><abstract><p>Цель исследования — оценка эмпирической связи между экономическим ростом и уровнем безработицы в российской экономике. Методология исследования основана на эконометрическом анализе временных рядов, представляющих данные по безработице и экономическому росту в целях выявления эмпирической связи между данными переменными. В статье продолжена работа по выявлению взаимосвязи между уровнем безработицы и ВВП в России на основе эмпирических данных. На основе результатов модели оптимальной длины рассчитан долгосрочный коэффициент Оукена, описывающий связь между ВВП и безработицей. В результате эмпирической оценки получен коэффициент Оукена, равный 0,87, что согласуется с проведенными ранее исследованиями по данным российской экономики. Расхождения могут быть объяснены фактором пандемии в 2020 г. Сделан вывод, что значение долгосрочного коэффициента Оукена подтверждает стабильную связь между ВВП и уровнем безработицы. Однако его значение для России несколько уступает оценкам для большинства развитых стран и сопоставимо с показателями для стран с формирующимся рынком. Результаты исследования могут быть использованы при построении краткосрочных прогнозов реакции безработицы на изменение ВВП, а также при разработке мер макроэкономической политики в России в целом.</p></abstract><trans-abstract xml:lang="en"><p>The purpose of the study is to assess the empirical relationship between economic growth and unemployment in the Russian economy. The research methodology is based on an econometric analysis of time series representing data on unemployment and economic growth to identify an empirical relationship between these variables. In the article continued the work on identifying the relationship between the unemployment rate and GDP in Russia based on empirical data. Based on the results of the optimal length model, the long-term Okun coefficient describing the relationship between GDP and unemployment is calculated. As a result of the empirical assessment, the Okun coefficient was obtained equal to 0.87, which is consistent with previous studies based on the data of the Russian economy. The discrepancies can be explained by the pandemic factor in 2020. It is concluded that the value of the long-term Okun coefficient confirms the stable relationship between GDP and the unemployment rate. However, its value for Russia is somewhat inferior to estimates for most developed countries and is comparable to indicators for emerging market countries. The results of the study can be used in the construction of short-term forecasts of the response of unemployment to changes in GDP, as well as in the development of macroeconomic policy measures in Russia as a whole.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>уровень безработицы</kwd><kwd>занятость</kwd><kwd>экономический рост</kwd><kwd>закон Оукена</kwd><kwd>пандемия коронавируса</kwd><kwd>временные ряды</kwd><kwd>эмпирическая оценка</kwd><kwd>Российская Федерация</kwd></kwd-group><kwd-group xml:lang="en"><kwd>уровень безработицы</kwd><kwd>занятость</kwd><kwd>экономический рост</kwd><kwd>закон Оукена</kwd><kwd>пандемия коронавируса</kwd><kwd>временные ряды</kwd><kwd>эмпирическая оценка</kwd><kwd>Российская Федерация</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена по результатам исследований, выполненных за счет бюджетных средств по госу- дарственному заданию РАНХиГС.</funding-statement><funding-statement xml:lang="en">The article is based on the results of budgetary-supported research according to the state task carried out by the RANEPA.</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">Baily M. 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