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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">10.34023/2313-6383-2015-0-8-47-55</article-id><article-id custom-type="elpub" pub-id-type="custom">voprstat-252</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>МАТЕМАТИКО-СТАТИСТИЧЕСКИЕ МЕТОДЫ В СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ИССЛЕДОВАНИЯХ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MATHEMATICAL AND STATISTICAL METHODS IN SOCIO-ECONOMIC STUDIES</subject></subj-group></article-categories><title-group><article-title>РИСКИ СОЦИАЛЬНОЙ ЭКСКЛЮЗИИ В РЕГИОНАХ РОССИИ: МЕТОДОЛОГИЧЕСКИЙ ИНСТРУМЕНТАРИЙ И РЕЗУЛЬТАТЫ ОЦЕНКИ_</article-title><trans-title-group xml:lang="en"><trans-title>SOCIAL EXCLUSION RISK AT THE REGIONAL LEVEL IN RUSSIA: METHODOLOGICAL FRAMEWORK AND OUTPUTS</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>Исаев</surname><given-names>Николай Иванович</given-names></name><name name-style="western" xml:lang="en"><surname>Isaev</surname><given-names>Nikolay</given-names></name></name-alternatives><email xlink:type="simple">isnick@yandex.ru</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>Капустин</surname><given-names>Алексей Кириллович</given-names></name><name name-style="western" xml:lang="en"><surname>Kapustin</surname><given-names>Alexey</given-names></name></name-alternatives><email xlink:type="simple">cap027@yandex.ru</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>Смирнов</surname><given-names>Сергей Николаевич</given-names></name><name name-style="western" xml:lang="en"><surname>Sergey</surname><given-names>Smirnov</given-names></name></name-alternatives><email xlink:type="simple">socpol@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>The HSE Institute ofSocial Policy and Socio-Economic Programmes</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>12</day><month>12</month><year>2016</year></pub-date><volume>0</volume><issue>8</issue><fpage>47</fpage><lpage>55</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Исаев Н.И., Капустин А.К., Смирнов С.Н., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Исаев Н.И., Капустин А.К., Смирнов С.Н.</copyright-holder><copyright-holder xml:lang="en">Isaev N., Kapustin A., Sergey S.</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/252">https://voprstat.elpub.ru/jour/article/view/252</self-uri><abstract><p>Статья посвящена малоисследованным проблемам операционализации оценивания рисков социальной эксклюзии в региональном разрезе. Под социальной эксклюзией понимается разрушение жизненно важных для индивида отношений с социумом, охватывающая пять видов отношений индивида - с членами семьи/близкими родственниками, с друзьями/знакомыми, с коллегами по работе/учебе, с представителями властей/государства и с соседями/местным сообществом. Предложен и апробирован методологический подход, предусматривающий в формуле - математико-статистической модели риска социальной эксклюзии взвешивание показателя численности населения, находящегося в группах риска социальной эксклюзии, на вероятность материализации этого риска. В качестве источников информации использовались данные государственной и ведомственной статистической отчетности (для определения общей численности групп риска) и результаты опроса экспертов (для расчета вероятности материализации риска). Построены рейтинги регионов России по рискам социальной эксклюзии и отдельным ее измерениям.</p></abstract><trans-abstract xml:lang="en"><p>The article is dedicated to weakly examined operationalization issues of assessing risks of social exclusion at the regional level in Russia. Social exclusion is defined as a disruption of one or more of the five vital interpersonal relationships of an individual within a society he/she lives in, namely: the relationships with family/household members; friends/acquaintances; colleagues/work associates; authorities/officials; neighbors/community. A methodological approach to social exclusion measure as a number of population belonged to considered group at risk weighting by its probability of social risk occurrence has been developed. Estimations of population at risk and probability of risk implementation were based on official statistics and data derived from an expert survey accordingly. Ratings for the Russian regions have been developed on the grounds of the values of integral and dimensional social exclusion risk.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>социальная эксклюзия</kwd><kwd>риск социальной эксклюзии</kwd><kwd>межличностные социальные отношения</kwd><kwd>группа риска</kwd><kwd>депривация</kwd><kwd>Z-оценки</kwd><kwd>региональные рейтинги</kwd><kwd>social exclusion</kwd><kwd>social exclusion risk</kwd><kwd>interpersonal social relationships</kwd><kwd>group at risk</kwd><kwd>deprivation</kwd><kwd>Z-scores</kwd><kwd>regional ratings</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Algorithms to compute cross-sectional indicators of poverty and social inclusion adopted under the open method of coordination. European Comission Eurostat. Directorate D: Single Market, Employment and Social statistics. 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