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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">mgssuvest</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник МГСУ</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik MGSU</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1997-0935</issn><issn pub-type="epub">2304-6600</issn><publisher><publisher-name>Moscow State University of Civil Engineering (National Research University) (MGSU)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.22227/1997-0935.2025.9.1386-1400</article-id><article-id custom-type="elpub" pub-id-type="custom">mgssuvest-723</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>Технология и организация строительства. Экономика и управление в строительстве</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Technology and organization of construction. Economics and management in construction</subject></subj-group></article-categories><title-group><article-title>Средние цены на рынке жилья Москвы: анализ динамики и прогнозы</article-title><trans-title-group xml:lang="en"><trans-title>Average prices in the Moscow housing market: analysis of dynamics and forecasts</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9753-0072</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чурилова</surname><given-names>Э. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Churilova</surname><given-names>E. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Эльвира Юрьевна Чурилова — кандидат экономических наук, доцент, доцент кафедры бизнес-аналитики</p><p>125167, г. Москва, Ленинградский проспект, д. 49/2</p><p>РИНЦ AuthorID: 475729</p></bio><bio xml:lang="en"><p>Elvira Yu. Churilova — Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Business Analytics</p><p>49/2 Leningradsky prospekt, Moscow, 125167</p><p>RSCI AuthorID: 475729</p></bio><email xlink:type="simple">EChurilova@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>29</day><month>09</month><year>2025</year></pub-date><volume>20</volume><issue>9</issue><fpage>1386</fpage><lpage>1400</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Чурилова Э.Ю., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Чурилова Э.Ю.</copyright-holder><copyright-holder xml:lang="en">Churilova E.Y.</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://www.vestnikmgsu.ru/jour/article/view/723">https://www.vestnikmgsu.ru/jour/article/view/723</self-uri><abstract><sec><title>Введение</title><p>Введение. Приводятся результаты анализа динамики средних цен на жилье первичного и вторичного рынков в г. Москве за период 2010–2024 гг. в разрезе типов квартир различного качества (среднего, улучшенного и элитного), а также прогноз цен 1 м2 квартир на квартальные периоды 2025–2027 гг.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Исследование базируется на официальных данных Росстата с 2010 по 2024 г. Для прогнозирования использовались модели экспоненциального сглаживания Винтерса с учетом линейного тренда и аддитивной сезонности.</p></sec><sec><title>Результаты</title><p>Результаты. Среднегодовые темпы прироста цен на жилье в г. Москве за период 2010–2024 гг. составили: по всем типам квартир на 4,8 % на вторичном рынке и на 6,5 % на первичном; по квартирам среднего качества (типовым) на 5,3 % на вторичном рынке и 7,1 % на первичном; по квартирам улучшенного качества на 4,8 % на вторичном рынке и 8,1 % на первичном; по элитным квартирам на 6,5 % на вторичном рынке и на 6,2 % на первичном. Согласно полученным прогнозам на вторичном рынке жилья прирост средних цен на 1 м2 в г. Москве по всем типам квартир по отношению к концу 2024 г. может составить 2,5 % в конце 2025 г., 5,3 % в конце 2026 г., 8,2 % в конце 2027 г.; на первичном рынке — 6,7 % в конце 2025 г., 11,3 % в конце 2026 г., 15,9 % в конце 2027 г. по отношению к аналогичному показателю 2024 г.</p></sec><sec><title>Выводы</title><p>Выводы. При сохранении тенденций 2010–2024 гг. наибольший рост цен ожидается на элитное жилье вторичного рынка, наименьший — на квартиры среднего и улучшенного качества также вторичного рынка жилья.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. The author analyzes average price changes in primary and secondary segments of the Moscow housing market, spanning from 2010 to 2024, with a breakdown into mediocre, better-quality, and luxury apartments, and presents price projections for quarterly periods of 2025–2027 per square meter of apartment space.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. The study is backed by the official data available from the Federal Service of State Statistics and covering the period of 2010–2024. Winter’s exponential smoothing models were applied to make projections that encompassed linear trends and additive seasonality.</p></sec><sec><title>Results</title><p>Results. In 2010–2024, the average annual price growth rate was 4.8 % for all types of apartments on the secondary Moscow market, and 6.5 % for all types of apartments on the primary Moscow market. As for “mediocre quality” (standard) apartments, the average annual price growth rate was 5.3 % for the secondary market and 7.1 % for the primary market. As for better-quality apartments, the average annual price growth rate was 4.8 % for the secondary market and 8.1 % for the primary market. As for luxury apartments, average annual price growth rates were 6.5 % for the secondary market and 6.2 % for the primary market. The author’s projections for the secondary housing market suggest a 2.5 % increase in the average price per square meter of all types of Moscow apartments as of the year-end 2025 relative to the year-end 2024. The same value will reach 5.3 % as of the year-end 2026, and 8.2 % as of the year-end 2027. For the primary market, the author suggests a 6.7 % price increase as of the year-end 2025; a 11.3 % price increase as of the year-end 2026, and a 15.9 % price increase as of the year-end 2027 relative to the same value for 2024.</p></sec><sec><title>Conclusions</title><p>Conclusions. If the same trends persist, the greatest price growth rate is anticipated for luxury housing on the secondary housing market, and the smallest price growth rate is projected for mediocre and better-quality apartments on the secondary housing market.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>рынок жилья</kwd><kwd>цена 1 м2 квартир</kwd><kwd>прогнозы цен на жилье</kwd><kwd>эконометрическое моделирование</kwd><kwd>модели Винтерса</kwd><kwd>жилищное строительство</kwd><kwd>недвижимость в Москве</kwd></kwd-group><kwd-group xml:lang="en"><kwd>housing market</kwd><kwd>price per square meter of apartment</kwd><kwd>housing price projections</kwd><kwd>econometric modeling</kwd><kwd>Winter’s models</kwd><kwd>housing construction</kwd><kwd>Moscow real estate</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Автор выражает благодарность анонимным рецензентам за проделанную работу, сделанные замечания и дополнения.</funding-statement><funding-statement xml:lang="en">The author expresses gratitude to anonymous reviewers for their efforts, comments and revisions.</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">Васильева Е.Ю., Даниелян М.Г. Нейминг как один из факторов ценообразования в сфере жилищного строительства на примере жилых комплексов Москвы и Московской области // Вестник МГСУ. 2024. Т. 19. № 2. С. 315–327. DOI: 10.22227/1997-0935.2024.2.315-327. EDN DLLYCF.</mixed-citation><mixed-citation xml:lang="en">Vasilyeva E.Yu., Daniyelyan M.G. Naming as one of pricing factors in the field of house construction on the example of housing estates in Moscow and Moscow region. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2024; 19(2):315-327. DOI: 10.22227/1997-0935.2024.2.315-327. EDN DLLYCF. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Пяткина Д.А. Методология эконометрического моделирования на рынке недвижимости Москвы // Экономика и предпринимательство. 2021. № 6 (131). С. 410–416. DOI: 10.34925/EIP.2021.131.6.080. EDN POOYKG.</mixed-citation><mixed-citation xml:lang="en">Pyatkina D.A. Econometric modeling methodology in the Moscow real estate market. Economy and Entrepreneurship. 2021; 6(131):410-416. DOI: 10.34925/EIP.2021.131.6.080. EDN POOYKG. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Гончаров Г.И., Натхов Т.В. Текстуальный анализ ценообразования на рынке московской жилой недвижимости // Экономический журнал Высшей школы экономики. 2020. Т. 24. № 1. С. 101–116. DOI: 10.17323/1813-8691-2020-24-1-101-116. EDN NWRXZF.</mixed-citation><mixed-citation xml:lang="en">Goncharov G., Natkhov T. Textual analysis of pricing in the Moscow residential real estate market. HSE Economic Journal. 2020; 24(1):101-116. DOI: 10.17323/1813-8691-2020-24-1-101-116. EDN NWRXZF. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Четвериков В.М., Чурбанов Р.Р. Сравнительный статистический анализ изменения средних цен предложения жилья в административных округах г. Москвы // Вопросы статистики. 2024. Т. 31. № 5. С. 41–56. DOI: 10.34023/2313-6383-2024-31-5-41-56. EDN STFOPH.</mixed-citation><mixed-citation xml:lang="en">Chetverikov V.M., Churbanov R.R. Comparative statistical analysis of changes in average asking prices for housing in the administrative districts of Moscow. Voprosy Statistiki. 2024; 31(5):41-56. DOI: 10.34023/2313-6383-2024-31-5-41-56. EDN STFOPH. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Косякина А.И. «Пузырь» на рынке жилья? Анализ на основе метода повторных продаж для вторичного рынка Москвы и Санкт-Петербурга // Прикладная эконометрика. 2023. № 2 (70). С. 72–88. DOI: 10.22394/1993-7601-2023-70-72-88. EDN ZSSUKK.</mixed-citation><mixed-citation xml:lang="en">Kosyakina A. A bubble in the housing market? Analysis based on the repeat-sales method for the secondary market in Moscow and Saint Petersburg. Applied Econometrics. 2023; 2(70):72-88. DOI: 10.22394/1993-7601-2023-70-72-88. EDN ZSSUKK. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Богданова Ю.Н., Хоркина Ж.А. Платежеспособный спрос и уровень доступности жилья на рынке недвижимости Москвы // Промышленное и гражданское строительство. 2020. № 11. С. 63–68. DOI: 10.33622/0869-7019.2020.11.63-68. EDN VDCCGR.</mixed-citation><mixed-citation xml:lang="en">Bogdanova Yu.N., Horkina Zh.A. Solvent demand and housing affordability levels in the Moscow residential real estate market. Industrial and Civil Engineering. 2020; 11:63-68. DOI: 10.33622/0869-7019.2020.11.63-68. EDN VDCCGR. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Мальцева Е.В., Саргина Л.В., Амирова Н.Р. Современные тенденции развития рынка первичного жилья в Москве // Постсоветский материк. 2024. № 4 (44). С. 104–115. DOI: 10.48137/23116412_2024_4_104. EDN JAWBHH.</mixed-citation><mixed-citation xml:lang="en">Maltseva E.V., Sargina L.V., Amirova N.R. Modern trends in the development of the primary housing market in Moscow. Post–Soviet Continent. 2024; 4(44):104-115. DOI: 10.48137/23116412_2024_4_104. EDN JAWBHH. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Дорожкин Д.А. Анализ тенденций рынка недвижимости г. Москвы в условиях реализации Программы реновации // Вестник евразийской науки. 2023. Т. 15. № S2. EDN IBHDTI.</mixed-citation><mixed-citation xml:lang="en">Dorozhkin D.A. Analysis of trends in the real estate market in Moscow in the context of the implementation of the renovation program. The Eurasian Scientific Journal. 2023; 15(S2). EDN IBHDTI. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Беляков С.И., Соловьёв А.А., Ремизов И.Р., Смирнов А.В. Анализ тенденций развития и подходов к классификации жилой недвижимости на примере бизнес-класса в городе Москве // Недвижимость: экономика, управление. 2024. № S3. С. 72–76. EDN RBPBAK.</mixed-citation><mixed-citation xml:lang="en">Belyakov S.I., Solovyov A.A., Remizov I.R., Smirnov A.V. Analysis of development trends and approaches to the classification of residential real estate using the example of a business class in Moscow. Real Estate: Economics, Management. 2024; S3:72-76. EDN RBPBAK. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Петрова П.М. Анализ стратегических тенденций факторов, влияющих на рынок недвижимости Москвы // Экономическое возрождение России. 2023. № 2 (76). С. 147–161. DOI: 10.37930/1990-9780-2023-2(76)-147-161. EDN GJPNOU.</mixed-citation><mixed-citation xml:lang="en">Petrova P.M. Analysis of strategic trends of factors influencing the Moscow real estate market. Economic Revival of Russia. 2023; 2(76):147-161. DOI: 10.37930/1990-9780-2023-2(76)-147-161. EDN GJPNOU. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Мамедли М.О., Умнов А.В. Оценка стоимости недвижимости на основе больших данных // Вопросы экономики. 2022. № 12. С. 118–136. DOI: 10.32609/0042-8736-2022-12-118-136. EDN CBGUTC.</mixed-citation><mixed-citation xml:lang="en">Mamedli M.O., Umnov А.V. Real estate valuation based on big data. Voprosy Ekonomiki. 2022; 12:118-136. DOI: 10.32609/0042-8736-2022-12-118-136. EDN CBGUTC. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Богданова Т.К., Камалова А.Р., Кравченко Т.К., Полторак А.И. Проблемы моделирования оценки стоимости жилой недвижимости // Бизнес-информатика. 2020. Т. 14. № 3. С. 7–23. DOI: 10.17323/2587-814X.2020.3.7.23. EDN WBRIDX.</mixed-citation><mixed-citation xml:lang="en">Bogdanova T.K., Kamalova A.R., Kravchenko T.K., Poltorak A.I. Problems of modeling the valuation of residential properties. Business Informatics. 2020; 14(3):7-23. DOI: 10.17323/2587-814X.2020.3.7.23. EDN WBRIDX. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Голубев Е.Ж. Анализ рынка недвижимости в Москве: применение алгоритмов машинного обучения для прогнозирования цен на квартиры // Экономика строительства. 2024. № 4. С. 222–224. EDN SXCBUO.</mixed-citation><mixed-citation xml:lang="en">Golubev E.Zh. Analysis of the real estate market in Moscow: application of machine learning algorithms to predict apartment prices. Construction Economics. 2024; 4:222-224. EDN SXCBUO. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Хоркина Ж.А., Богданова Ю.Н. Обзор инструментов повышения платежеспособного спроса и характеристик покупателей жилой недвижимости // Жилищное строительство. 2020. № 11. С. 3–9. DOI: 10.31659/0044-4472-2020-11-3-9. EDN VPBBTI.</mixed-citation><mixed-citation xml:lang="en">Khorkina G.A., Bogdanova Yu.N. Overview of tools for increasing effective demand and characteristics of residential property buyers. Housing Construction. 2020; 11:3-9. DOI: 10.31659/0044-4472-2020-11-3-9. EDN VPBBTI. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Грахов В.П., Гумерова Л.Д., Поздеев Д.А. Моделирование структурных сдвигов на рынке жилищного строительства РФ // Экономика и предпринимательство. 2022. № 3 (140). С. 1135–1140. DOI: 10.34925/EIP.2022.140.03.216. EDN AVJQOC.</mixed-citation><mixed-citation xml:lang="en">Grahov V.P., Gumerova L.D., Pozdeev D.A. Modeling of structural changes in the housing construction market of the Russian Federation. Economy and Entrepreneurship. 2022; 3(140):1135-1140. DOI: 10.34925/EIP.2022.140.03.216. EDN AVJQOC. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Лозовская А.Н. Доступность жилья как современная проблема российского общества // Modern Economy Success. 2023. № 6. С. 234–240. EDN LYESDS.</mixed-citation><mixed-citation xml:lang="en">Lozovskaya A.N. Availability of housing as a modern problem of Russian society. Modern Economy Success. 2023; 6:234-240. EDN LYESDS. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Осипов А.С. Особенности формирования комплексного ценностного предложения на рынке жилой недвижимости Москвы // Маркетинг и маркетинговые исследования. 2022. № 1. С. 56–66. DOI: 10.36627/2074-5095-2022-1-1-56-66. EDN IWPINE.</mixed-citation><mixed-citation xml:lang="en">Osipov A.S. Features of the formation of a comprehensive value proposition in the residential real estate market in Moscow. Marketing and Marketing Research. 2022; 1:56-66. DOI: 10.36627/2074-5095-2022-1-1-56-66. EDN IWPINE. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Ивкова Е.Д. Оценка рынка недвижимости России // Вестник Российского экономического университета им. Г.В. Плеханова. Вступление. Путь в науку. 2023. Т. 13. № 4 (44). С. 79–91. EDN DOBPRS.</mixed-citation><mixed-citation xml:lang="en">Ivkova E.D. Assessment of the Russian real estate market. Bulletin of the Plekhanov Russian University of Economics. Introduction. Path to Science. 2023; 13(4):(44):79-91. EDN DOBPRS. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Столярчук М.О., Челышева Э.А. Анализ состояния и основных тенденций развития инвестиционно-строительного рынка жилой недвижимости г. Москвы и Московской области // Финансовые исследования. 2023. Т. 24. № 3 (80). С. 44–57. DOI: 10.54220/finis.1991-0525.2023.80.3.004. EDN XSAMZC.</mixed-citation><mixed-citation xml:lang="en">Stolyarchuk M.O., Chelysheva E.A. Analysis of the state and major trends in the development of the investment and construction market of residential real estate in Moscow and the Moscow region. Financial Research. 2023; 24(3):(80):44-57. DOI: 10.54220/finis.1991-0525.2023.80.3.004. EDN XSAMZC. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Gravatt D., Beracha E., Johnson K.H. A Note on the Estimation of the Degree of Over- or Under-Pricing of Housing Markets Relative to Their Long-Term Pricing Trend // Journal of Housing Research. 2022. Vol. 31. Nо. 1. Pp. 1–3. DOI: 10.1080/10527001.2021.2007584. EDN LPTIFG.</mixed-citation><mixed-citation xml:lang="en">Gravatt D., Beracha E., Johnson K.H. A Note on the Estimation of the Degree of Over- or Under-Pricing of Housing Markets Relative to Their Long-Term Pricing Trend. Journal of Housing Research. 2022; 31(1):1-3. DOI: 10.1080/10527001.2021.2007584. EDN LPTIFG.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Milunovich G. Forecasting Australia’s real house price index: A comparison of time series and machine learning methods // Journal of Forecasting. 2020. Vol. 39. Nо. 7. Pp. 1098–1118. DOI: 10.1002/for.2678. EDN TRMMOM.</mixed-citation><mixed-citation xml:lang="en">Milunovich G. Forecasting Australia’s real house price index: A comparison of time series and machine learning methods. Journal of Forecasting. 2020; 39(7):1098-1118. DOI: 10.1002/for.2678. EDN TRMMOM.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Bereitschaft B. The Declining Impact of Walkability and Transit Accessibility on U.S. Home Values During the COVID-19 Pandemic // Journal of Housing Research. 2025. Pp. 1–21. DOI: 10.1080/10527001.2025.2477938</mixed-citation><mixed-citation xml:lang="en">Bereitschaft B. The Declining Impact of Walkability and Transit Accessibility on U.S. Home Values During the COVID-19 Pandemic. Journal of Housing Research. 2025; 1-21. DOI: 10.1080/10527001.2025.2477938</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Will S., Renz T. In Debt but Still Happy? Homeownership and the Satisfactions with Housing and Life // Journal of Housing Research. 2024. Vol. 34. Issue 1. Pp. 29–59. DOI: 10.1080/10527001.2024.2367279</mixed-citation><mixed-citation xml:lang="en">Will S., Renz T. In Debt but Still Happy? Homeownership and the Satisfactions with Housing and Life. Journal of Housing Research. 2024; 34(1):29-59. DOI: 10.1080/10527001.2024.2367279</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Jørgensen P.L. The global savings glut and the housing boom // Journal of Economic Dynamics and Control. 2023. Vol. 146. P. 104563. DOI: 10.1016/j.jedc.2022.104563</mixed-citation><mixed-citation xml:lang="en">Jørgensen P.L. The global savings glut and the housing boom. Journal of Economic Dynamics and Control. 2023; 146:104563. DOI: 10.1016/j.jedc.2022.104563</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Kuroki M., Wei W. The Housing and Rental Price Effects of Unskilled and Skilled Immigration in the United States: 2013–2017 // Journal of Housing Research. 2020. Vol. 29. Issue 2. Pp. 179–194. DOI: 10.1080/10527001.2020.1846430</mixed-citation><mixed-citation xml:lang="en">Kuroki M., Wei W. The Housing and Rental Price Effects of Unskilled and Skilled Immigration in the United States: 2013–2017. Journal of Housing Research. 2020; 29(2):179-194. DOI: 10.1080/10527001.2020.1846430</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Gandré P. A Note on Learning, House Prices, and Macro-Financial Linkages // Macroeconomic Dynamics. 2023. Vol. 27. Issue 7. Pp. 1996–2011. DOI: 10.1017/S1365100522000566</mixed-citation><mixed-citation xml:lang="en">Gandré P. A Note on Learning, House Prices, and Macro-Financial Linkages. Macroeconomic Dynamics. 2023; 27(7):1996-2011. DOI: 10.1017/S13651005-22000566</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Caines C. Can learning explain boom-bust cycles in asset prices? An application to the US housing boom // Journal of Macroeconomics. 2020. Vol. 66. P. 103256. DOI: 10.1016/j.jmacro.2020.103256</mixed-citation><mixed-citation xml:lang="en">Caines C. Can learning explain boom-bust cycles in asset prices? An application to the US housing boom. Journal of Macroeconomics. 2020; 66:103256. DOI: 10.1016/j.jmacro.2020.103256</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">McGurk Z., Zaporowski M.U.S. Bilateral Capital Inflows and Housing Price Return Predictability // Journal of Housing Research. 2025. Pp. 1–23. DOI: 10.1080/10527001.2025.2465020</mixed-citation><mixed-citation xml:lang="en">McGurk Z., Zaporowski M.U.S. Bilateral Capital Inflows and Housing Price Return Predictability. Journal of Housing Research. 2025; 1-23. DOI: 10.1080/10527001.2025.2465020</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
