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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">accounting</journal-id><journal-title-group><journal-title xml:lang="ru">Учет. Анализ. Аудит</journal-title><trans-title-group xml:lang="en"><trans-title>Accounting. Analysis. Auditing</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2408-9303</issn><issn pub-type="epub">2619-130X</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">10.26794/2408-9303-2021-8-6-58-67</article-id><article-id custom-type="elpub" pub-id-type="custom">accounting-431</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>ПОДГОТОВКА КАДРОВ ДЛЯ НОВОЙ ЭКОНОМИКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>STUFF TRAINING FOR THE NEW ECONOMY</subject></subj-group></article-categories><title-group><article-title>Статистический анализ тенденций на рынке труда постсоветских стран в 1990–2020 годах</article-title><trans-title-group xml:lang="en"><trans-title>Statistical analysis of labor market trends of post-soviet countries in 1990–2020</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1068-1343</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Толмачев</surname><given-names>М. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Tolmachev</surname><given-names>M. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михаил Николаевич Толмачев — доктор экономических наук, доцент, профессор Департамента бизнес-аналитики</p><p>Москва</p></bio><bio xml:lang="en"><p>Mikhail N. Tolmachev — Dr. Sci. (Econ.), Associate Professor, Professor of Department of business analytics, faculty of taxes, audit and business analysis</p><p>Moscow</p></bio><email xlink:type="simple">mntolmachev@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1914-0719</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Цыпин</surname><given-names>А. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Tsypin</surname><given-names>A. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Павлович Цыпин — кандидат экономических наук, доцент, доцент Департамента бизнес-аналитики</p><p>Москва</p></bio><bio xml:lang="en"><p>Aleksandr P. Tsypin — Cand. Sci. (Econ.), Associate Professor, Associate Professor of Department of business analytics, faculty of taxes, audit and business analysis</p><p>Moscow</p></bio><email xlink:type="simple">aptsypin@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Финансовый университет<country>Россия</country></aff><aff xml:lang="en">Financial University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>18</day><month>01</month><year>2022</year></pub-date><volume>8</volume><issue>6</issue><fpage>58</fpage><lpage>67</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Толмачев М.Н., Цыпин А.П., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Толмачев М.Н., Цыпин А.П.</copyright-holder><copyright-holder xml:lang="en">Tolmachev M.N., Tsypin A.P.</copyright-holder><license 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://accounting.fa.ru/jour/article/view/431">https://accounting.fa.ru/jour/article/view/431</self-uri><abstract><p>Наличие и качественный состав рабочей силы считаются одними из основных аспектов регулирования рынка труда, от параметров которых во многом зависят темпы развития экономики и рост благосостояния граждан. Цель проводимого исследования — выявление закономерностей развития рынка труда постсоветских стран на основе ретроспективного анализа временных рядов. Для достижения поставленной цели к основным индикаторам рынка труда бывших советских республик были применены общенаучные методы (исторический и сравнения), а также статистический инструментарий. Это позволило выявить следующие закономерности: колоссальный рост числа занятых в народном хозяйстве, наблюдавшийся до 1991 г., был прерван в результате трансформации экономик; в итоге лишь некоторые среднеазиатские республики смогли удержать этот показатель за счет высокой рождаемости и низкой смертности; на начальном этапе развития экономических систем постсоветских стран были зафиксированы низкие значения уровня безработицы, но уже к 2000-м гг. его средняя величина по совокупности существенно превышала среднемировую; по причине отсутствия достойной работы наблюдается значительная эмиграция из некоторых стран постсоветского пространства, что указывает на необходимость пересмотра их экономической политики. Полученные результаты и методологические подходы могут быть полезны исследователям в области рынка труда стран постсоветского пространства, а также государственным служащим для формирования внутристрановой трудовой политики.</p></abstract><trans-abstract xml:lang="en"><p>The availability and quality of the labor force are considered as ones of the main aspects of labor market regulation, its parameters largely depend on the growth rate of the economy and the growth of people’s well-being. The goal of the research is to identify the patterns of the labor market development of the post-Soviet countries based on the analysis of retrospective time series. These general scientific methods as historical and comparison, as well as statistical tools were used for that goal achievement. The application of a set of scientific methods to the main indicators of the labor market of post-Soviet countries revealed the following patterns: The huge increase in the number of people employed in the national economy which occurred before 1991, had been interrupted by the transformation of economies. As a result, a few Central Asian countries only were able to maintain the growth due to the high fertility and low mortality. Also, the unemployment rate showed low values at the initial stage of the development of the economic systems in the post-Soviet countries. In spite of that, in the 2000s its average value in the aggregate was significantly higher than the global average, as well as due to the lack of decent work in some countries of the post-Soviet space, there was a significant emigration which indicates the need to revise the economic policies of these republics. The obtained results and methodological approaches will be useful to researchers in the field of the labor market in the countries of the post- Soviet space, as well as specialists of the Ministry of Labor and Social Protection of the Russian Federation to formulate policies on the labor migration from the former Soviet republics.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>постсоветские страны</kwd><kwd>рабочая сила</kwd><kwd>занятые в экономике</kwd><kwd>безработица</kwd><kwd>труд</kwd><kwd>трудовая миграция</kwd><kwd>тенденция</kwd><kwd>кризисы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>post-Soviet countries</kwd><kwd>labor force</kwd><kwd>employment in the economy</kwd><kwd>unemployment</kwd><kwd>labor</kwd><kwd>labor migration</kwd><kwd>trend</kwd><kwd>crises</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Исследование выполнено при финансовой поддержке Российского фонда фундаментальных исследований (РФФИ) в рамках научного проекта № 20–010–00681.</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">Ayrapetyan G. 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