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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">voprstat</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы статистики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Statistiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2313-6383</issn><issn pub-type="epub">2658-5499</issn><publisher><publisher-name>The Federal State Budgetary Institution "Scientific Research Institute for Socio-Economic Statistics of the Federal State Statistics Service" (Statistics Research Institute of Rosstat)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.34023/2313-6383-2023-30-4-84-95</article-id><article-id custom-type="elpub" pub-id-type="custom">voprstat-1607</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>В ПОРЯДКЕ ОБСУЖДЕНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>IN THE COURSE OF DISCUSSION</subject></subj-group></article-categories><title-group><article-title>Об обеспечении сопоставимости статистических показателей при изменении государственных границ</article-title><trans-title-group xml:lang="en"><trans-title>On Ensuring the Comparability of Statistical Indicators when Changing State Borders</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3828-5374</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бессонов</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Bessonov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>канд. физ.-мат. наук, начальник отдела отраслей реального сектора и внешней торговли Института «Центр развития»</p><p>109074, г. Москва, Славянская пл., д. 4, стр. 2, каб. 213</p><p> </p></bio><bio xml:lang="en"><p>Cand. Sci. (Phys.-Math.), Head, Department for Analysis of Real Economy Sector Industries and Foreign Trade, Centre of Development Institute.</p><p>4, Slavyanskaya Ploshchad, Bldg. 2, Room 213, Moscow, 109074</p></bio><email xlink:type="simple">bessonov@hse.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Национальный исследовательский университет «Высшая школа экономики»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>National Research University Higher School of&#13;
Economics (HSE University)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>24</day><month>08</month><year>2023</year></pub-date><volume>30</volume><issue>4</issue><fpage>84</fpage><lpage>95</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Бессонов В.А., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Бессонов В.А.</copyright-holder><copyright-holder xml:lang="en">Bessonov V.A.</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://voprstat.elpub.ru/jour/article/view/1607">https://voprstat.elpub.ru/jour/article/view/1607</self-uri><abstract><p>Изложены авторские предложения по решению проблемы обеспечения сопоставимости российских социально-экономических показателей в связи с изменением границ государства в результате проведения cпециальной военной операции. Рассмотрен опыт обеспечения сопоставимости показателей при изменении границ, в частности при объединении Германии в 1990 г. и при воссоединении с Крымом в 2014 г. Показано, что связанная с большой длительностью процесса изменения границ и неопределенностью его результатов специфика обсуждаемого российского эпизода изменения границ, делает его уникальным, т. е. не имеющим прямых аналогов в последние десятилетия для развитых стран. Обсуждаются требования к сопоставимости данных, предъявляемые содержательными задачами, для решения которых они используются. Обосновывается целесообразность такого решения проблемы, которое позволило бы анализировать динамику показателей как по сопоставимой, так и по полной территориям. Предложен простой и технологичный подход к решению проблемы сопоставимости. Рассмотрены особенности ее решения для показателей разных типов, уровней агрегирования и с разными шагами по времени. Сформулированы рекомендации по организации работы, связанной с обеспечением сопоставимости статистических показателей при изменении государственных границ.</p></abstract><trans-abstract xml:lang="en"><p>The paper discusses the author's proposals for addressing the problem of achieving the comparability of Russian socio-economic indicators related to the change in the borders of the state as a result of the special military operation. The experience of ensuring indicators comparability when changing state borders, namely during the unification of Germany in 1990 and reunification with Crimea in 2014, is considered. It is shown that, due to the long duration of the process of changing borders and the uncertainty of its results, the specificity of the discussed Russian episode of changing state borders makes it unique, i. e., having no direct analogues in recent decades for developed countries. The article discusses requirements for data comparability, which are imposed by the tasks for which they are used. The need to find such a solution to the problem, which would allow analyzing the dynamics of indicators for both a comparable and entire territories, is explained. The author proposes a simple and technologically advanced approach to solving the problem of comparability. Features of its solution for indicators of different types, different levels of aggregation, and with different time steps are considered. Recommendations for organizing the work related to ensuring the comparability of statistical indicators when changing state borders are proposed.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Россия</kwd><kwd>статистический показатель</kwd><kwd>временной ряд</kwd><kwd>изменение государственных границ</kwd><kwd>cпециальная военная операция</kwd><kwd>сопоставимость статистических показателей</kwd><kwd>экономический индекс</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Russia</kwd><kwd>statistical indicator</kwd><kwd>time series</kwd><kwd>change of state borders</kwd><kwd>special military operation</kwd><kwd>comparability of statistical indicators</kwd><kwd>index number</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена в рамках проекта, финансируемого Программой фундаментальных исследований Национального исследовательского университета «Высшая школа экономики».</funding-statement><funding-statement xml:lang="en">The study was implemented in the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE University).</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">National Accounts at a Glance, 2022. 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