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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">umovest</journal-id><journal-title-group><journal-title xml:lang="ru">Статистика и Экономика</journal-title><trans-title-group xml:lang="en"><trans-title>Statistics and Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2500-3925</issn><publisher><publisher-name>Plekhanov Russian University of Economics</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21686/2500-3925-2013-6-142-146</article-id><article-id custom-type="elpub" pub-id-type="custom">umovest-318</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>СТАТИСТИКА И МАТЕМАТИЧЕСКИЕ МЕТОДЫ В ЭКОНОМИКЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>STATISTICAL AND MATHEMATICAL METHODS  IN ECONOMICS</subject></subj-group></article-categories><title-group><article-title>МОДЕЛИРОВАНИЕ ТЕМПОВ РОСТА ЧИСЛЕННОСТИ НАСЕЛЕНИЯ ГОРОДОВ РОССИИ: ПРОСТРАНСТВЕННЫЙ АСПЕКТ</article-title><trans-title-group xml:lang="en"><trans-title>MODELING POPULATION GROWTH RATE IN RUSSIAN CITIES: SPATIAL ASPECTS</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>Балаш</surname><given-names>Ольга Сергеевна</given-names></name><name name-style="western" xml:lang="en"><surname>Balash</surname><given-names>Olga S.</given-names></name></name-alternatives><email xlink:type="simple">olgabalash@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Саратовский государственный университет им. Н.Г. Чернышевского</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Saratov State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2013</year></pub-date><pub-date pub-type="epub"><day>09</day><month>08</month><year>2016</year></pub-date><volume>0</volume><issue>6</issue><fpage>142</fpage><lpage>146</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Балаш О.С., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Балаш О.С.</copyright-holder><copyright-holder xml:lang="en">Balash O.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://statecon.rea.ru/jour/article/view/318">https://statecon.rea.ru/jour/article/view/318</self-uri><abstract><p>В статье проводится анализ темпов роста численности населения городов России в зависимости от их размера и региона. Выявлено, что темпы роста численности населения городов неодинаковы для регионов России. Проводится эконометрический анализ данных, имеющих географическую привязку методом географически взвешенной регрессии. Для определения причин роста городов используется показатель географического рыночного потенциала, предложенный Soo.</p></abstract><trans-abstract xml:lang="en"><p>The article analyzes the growth rate of the urban population in Russia according to their size and region. It is revealed that the growth rate of the urban population are not the same for the regions of Russia. An econometric analysis of the data with geo-referenced using geographically weighted regression is conducted. In order to determine the causes of urban growth rate geographic market potential offered by Soo is used.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>факторы роста численности населения городов</kwd><kwd>пространственно зависимые данные</kwd><kwd>анализ пространственно неоднородных данных</kwd><kwd>методы пространственной эконометрики</kwd><kwd>географически взвешенная регрессия</kwd><kwd>географический рыночный потенциал</kwd><kwd>factors of population growth in cities</kwd><kwd>spatially dependent data</kwd><kwd>the analysis of spatially heterogeneous data</kwd><kwd>methods of spatial econometrics</kwd><kwd>geographically weighted regression</kwd><kwd>the geographic market potential</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">Anselin L. Spatial Econometrics: Methods and Models // Kluwer Academic Publishers, Dordrecht. 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