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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">voprecotest</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы экономики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Ekonomiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0042-8736</issn><publisher><publisher-name>Voprosy Ekonomiki, NP</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32609/0042-8736-2021-9-24-50</article-id><article-id custom-type="elpub" pub-id-type="custom">voprecotest-3313</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>ДЕНЕЖНО-КРЕДИТНАЯ ПОЛИТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MONETARY POLICY</subject></subj-group></article-categories><title-group><article-title>Шоки предложения банковского кредитования и потребление  домашних хозяйств в России</article-title><trans-title-group xml:lang="en"><trans-title>Credit supply shocks and household consumption in Russia</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2028-3047</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Колесник</surname><given-names>Д. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Kolesnik</surname><given-names>D. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Колесник Дарья Павловна, эксперт Центра исследований международной экономики Института международных исследований</p><p>Москва</p></bio><bio xml:lang="en"><p>Daria P. Kolesnik</p><p>Moscow</p><p>Prague, Czech Republic</p></bio><email xlink:type="simple">darya.kolesnick@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9934-3617</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пестова</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Pestova</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Пестова Анна Андреевна, к.э.н., старший научный сотрудник Центра исследований международной экономики Института международных исследований; PhD-кандидат</p><p>Москва</p><p>Прага, Чехия</p></bio><bio xml:lang="en"><p>Anna A. Pestova</p><p>Moscow</p><p>Prague, Czech Republic</p><p> </p><p> </p></bio><email xlink:type="simple">annapestova@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4256-4838</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мамонов</surname><given-names>М.</given-names></name><name name-style="western" xml:lang="en"><surname>Mamonov</surname><given-names>M. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мамонов Михаил Евгеньевич, к.э.н., старший научный сотрудник, директор Центра исследований международной экономики Института международных исследований; PhD-кандидат</p><p>Москва</p><p>Прага, Чехия</p></bio><bio xml:lang="en"><p>Mikhail E. Mamonov</p><p>Moscow</p></bio><email xlink:type="simple">mikhail.mamonov@cerge-ei.cz</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный институт международных отношений (университет) МИД России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>MGIMO University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Московский государственный институт международных отношений (университет) МИД России; CERGE-EI (Карлов университет)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>MGIMO University; CERGE-EI, Charles University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>03</day><month>09</month><year>2021</year></pub-date><volume>0</volume><issue>9</issue><fpage>24</fpage><lpage>50</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Voprosy Ekonomiki, NP, 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Voprosy Ekonomiki, NP</copyright-holder><copyright-holder xml:lang="en">Voprosy Ekonomiki, NP</copyright-holder><license xlink:href="https://www.vopreco.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://www.vopreco.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://www.vopreco.ru/jour/article/view/3313">https://www.vopreco.ru/jour/article/view/3313</self-uri><abstract><p>В работе проводится сравнительный анализ реакции различных групп потребителей на шоки предложения банковского кредитования. В качестве параметров гетерогенности потребителей рассматриваются различия в форме владения жильем (владельцы жилья с ипотекой и без ипотеки и арендаторы) и в виде кредита (домохозяйства с крупным долгом (ипотекой, автокредитом), домохозяйства с умеренным (потребительским) кредитом и без кредитов). Для эмпирического анализа используются данные лонгитюдного панельного обследования домохозяйств RLMS-HSE НИУ ВШЭ за период с 2006 по 2019 год, охватывающем два эпизода кредитного кризиса и пост-кризисного восстановления. Шоки предложения банковского кредитования оцениваются при помощи стандартной модели структурной векторной авторегрессии (SVAR), в которой также идентифицируются шоки совокупного спроса и предложения и шоки монетарной политики. Наши результаты показывают, что при положительном шоке предложения банковского кредитования, эквивалентном сокращению процентной ставки по кредитам на 0,5 п.п., домохозяйства с ипотекой увеличивают свое потребление на 2,1–2,5% больше, чем владельцы жилья без ипотеки. Обнаруженный эффект существенен, поскольку средние годовые темпы прироста потребления домашних хозяйств с ипотекой в нашей выборке составляют 3,8%. Наши результаты указывают на то, что макропруденциальная политика Банка России, в которой инструментом выступают контрциклические буферы капитала (Базель-III), может быть весьма эффективной в сглаживании потребления домашних хозяйств с задолженностью по ипотеке.</p></abstract><trans-abstract xml:lang="en"><p>The paper presents a comparative analysis of the reaction of different consumer groups to the bank credit supply shocks. As parameters of consumer heterogeneity, we consider differences (i) in the form of home ownership (households with and without mortgages and tenants) and (ii) in the form of credit (households with large debt (mortgages, car loans), households with small (consumer) credit and without loans). For empirical analysis we use RLMS-HSE longitudinal Household Panel Survey for the period from 2006 to 2019, which covers two episodes of the credit crisis and post-crisis recovery. Bank credit supply shocks are estimated using the standard structural vector autoregression (SVAR) model, which also identifies aggregate supply and demand shocks and monetary policy shocks. Our results show that with a positive credit supply shock, which is equivalent to a 0.5 percentage point reduction in the interest rate on loans, households with mortgages increase their consumption by 2.1—2.5% more than households without mortgages. The observed effect is significant, since the average annual growth rate of consumption of households with mortgages in our sample is 3.8%. Our results indicate that the Bank of Russia’s macroprudential policy, which uses countercyclical capital buffers (Basel III) as a tool, can be very effective in smoothing the consumption of households with mortgage debt.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Кредиты населению</kwd><kwd>ипотека</kwd><kwd>потребление</kwd><kwd>агрегированные шоки</kwd><kwd>опросные данные РМЭЗ НИУ ВШЭ</kwd><kwd>SVAR-модели</kwd></kwd-group><kwd-group xml:lang="en"><kwd>consumer loans</kwd><kwd>mortgages</kwd><kwd>consumption</kwd><kwd>aggregated shocks</kwd><kwd>RLMS-HSE survey data</kwd><kwd>SVAR models</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">МГИМО</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">Баташев Р. В. (2016). 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