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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" 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" article-type="research-article" xml:lang="ru"><front><journal-meta><issn publication-format="print">2072-6414</issn><issn publication-format="electronic">2411-1406</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.17059/ekon.reg.2024-3-16</article-id><title-group xml:lang="en"><article-title>Methodology for Measuring Housing Affordability</article-title></title-group><title-group xml:lang="ru"><article-title>Методика измерения доступности жилья</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0417-1718</contrib-id><name-alternatives><name xml:lang="en"><surname>Ivanitskiy </surname><given-names>Vitaliy V. </given-names></name><name xml:lang="ru"><surname>Иваницкий</surname><given-names>Виталий Викторович </given-names></name></name-alternatives><email>VV.Ivanitskiy@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Kostroma State University</institution></aff><aff><institution xml:lang="ru">Костромской государственный университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-09-30" publication-format="electronic"/><volume>20</volume><issue>3</issue><fpage>851</fpage><lpage>866</lpage><history><date date-type="received" iso-8601-date="2023-02-25"/><date date-type="accepted" iso-8601-date="2024-06-20"/></history><permissions><copyright-statement xml:lang="en">Copyright © 2024 Vitaliy V. Ivanitskiy</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2024 Виталий Викторович Иваницкий</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Vitaliy V. Ivanitskiy</copyright-holder><copyright-holder xml:lang="ru">Виталий Викторович Иваницкий</copyright-holder><ali:free_to_read/><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>CC BY 4.0</license-p></license></permissions><self-uri content-type="html" mimetype="text/html" xlink:title="article webpage" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/view/477">https://www.economyofregions.org/ojs/index.php/er/article/view/477</self-uri><self-uri content-type="pdf" mimetype="application/pdf" xlink:title="article pdf" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/download/477/339">https://www.economyofregions.org/ojs/index.php/er/article/download/477/339</self-uri><abstract xml:lang="en"><p>As the basis of many social institutions, family greatly contributes to regional and national development. Housing affordability is an indicator of the standard of living in a region, which ultimately determines its ranking. The paper proposes to use the housing affordability coefficient, based mainly on the stages of creation and development of a social unit (family), which considers the influence of life circumstances (obstacles) on purchasing a house by a particular family in a particular region. This indicator includes two components: a constant of the period of savings accumulation by the family from the beginning of pregnancy until the child reaches the age of 1.5 years and the mortgage period. The housing affordability coefficient was tested on data for the Russian Federation, as well as for two regions of the Central Federal District (with the lowest and highest housing costs). The paper emphasises that the index of real estate affordability should have a specific value that can be perceived and imagined. The article provides a comparative analysis of the author’s and generally accepted in Russia methods of analysis for the period 2006–2021. A significant improvement in housing affordability was observed at the end of the examined period due to the presence and increase in maternity capital, the permission to use it as a down payment, the reduction by banks of the down payment and the mortgage rate. The author’s methodology more clearly confirmed the hypothesis that life circumstances (obstacles) greatly affect housing affordability, significantly increasing the values of the housing affordability coefficient. The findings can be used to compile a regional ranking in general and to assess the regional housing sector in particular.</p></abstract><abstract xml:lang="ru"><p>Семья является основой многих социальных институтов и вносит огромный вклад в развитие региона и страны в целом. Доступность жилья служит одним из индикаторов уровня жизни населения в регионе, что в конечном итоге определяет его рейтинг. В работе предлагается использование показателя «коэффициент доступности жилья», базирующегося главным образом на фазах создания и становления ячейки общества (семьи), что позволяет учитывать влияние жизненных обстоятельств (препятствий) на пути к приобретению жилья для конкретного домохозяйства в конкретном регионе. Данный показатель включает в себя две составляющие: первая — константа, определяющая период формирования накоплений семьей за время от начала беременности до достижения ребенком возраста 1,5 года, вторая — период выплаты ипотеки. Рассматриваемый коэффициент доступности жилья был апробирован на данных в целом по РФ и по двум регионам ЦФО (с самой низкой и высокой стоимостью жилья). В работе подчеркивается, что показатель доступности жилой недвижимости должен иметь не абстрактное значение, а конкретное, которое можно воспринять и представить. В статье был проведен сравнительный анализ авторской и общепринятой методик в целом по Российской Федерации за период 2006–2021 гг. В ходе проведенного анализа было замечено значительное улучшение показателя доступности жилья в конце анализируемого периода. Этому факту значительно поспособствовали наличие и рост величины материнского капитала, разрешение его использования в качестве первоначального взноса, сокращение банками величины первоначального взноса и ставки по ипотеке. Авторская методика более наглядно подтвердила гипотезу, предполагающую, что жизненные обстоятельства (преграды) значительно влияют на доступность жилья, существенно повышая значения коэффициента доступности жилья. Полученные результаты исследования могут быть использованы при составлении регионального рейтинга в целом и оценки жилищной сферы региона в частности.</p></abstract><kwd-group xml:lang="en"><kwd>index of real estate affordability, living wage, mortgage, state support, family, down payment, maternity capital, tax deduction, real estate economics of the region</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>коэффициент доступности жилья, прожиточный минимум, ипотека, государственная поддержка, семья, первоначальный взнос, материнский капитал, налоговый вычет, экономика недвижимости региона</kwd></kwd-group></article-meta></front><body/><back><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Abramova, N. V. (2017). Influence of mortgage crediting on accessibility of housing in the regions. Vestnik Omskogo universiteta. Seriya Ekonomika [Herald of Omsk University. Series “Economics”], 3 (59), 156–164. 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