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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">10.32609/0042-8736-2013-1-97-116</article-id><article-id custom-type="elpub" pub-id-type="custom">voprecotest-500</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>МАКРОЭКОНОМИЧЕСКИЕ ИССЛЕДОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MACROECONOMIC RESEARCH</subject></subj-group></article-categories><title-group><article-title>Роль технологического фактора в долгосрочных прогнозах мировой экономики</article-title><trans-title-group xml:lang="en"><trans-title>The Role of Technological Change in the Long-run Global Economy Forecasting</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>Апокин</surname><given-names>А. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Apokin</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>к.  э.  н., ведущий эксперт Центра макроэкономического анализа и краткосрочного прогнозирования (ЦМАКП), старший научный сотрудник Института народнохозяйственного прогнозирования РАН (Москва)</p></bio><email xlink:type="simple">aapokin@forecast.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Центр макроэкономического анализа и краткосрочного прогнозирования (ЦМАКП); Институт народнохозяйственного прогнозирования РАН (Москва)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Center of Macroeconomic Analysis and Short-term Forecasting and Institute of Economic Forecasting, RAS (Moscow, Russia)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2013</year></pub-date><pub-date pub-type="epub"><day>20</day><month>01</month><year>2013</year></pub-date><volume>0</volume><issue>1</issue><fpage>97</fpage><lpage>116</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Voprosy Ekonomiki, NP, 2013</copyright-statement><copyright-year>2013</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/500">https://www.vopreco.ru/jour/article/view/500</self-uri><abstract><p>В данной работе сопоставляются некоторые методики количественного и качественного прогнозирования с точки зрения их применимости в качестве инструментов долгосрочного прогнозирования развития мировой экономики с учетом влияния технологического фактора. На примере ряда качественных и количественных прогнозов динамики мировой экономики с горизонтом 10 лет и более выделяются преимущества и недостатки включения технологического фактора в долгосрочные экономические прогнозы. На основе анализа формулируются рекомендации по преодолению проблем статистической измеримости и качества измерения технологического развития с помощью подбора корректной методики долгосрочного прогнозирования.</p></abstract><trans-abstract xml:lang="en"><p>The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>технологическое развитие</kwd><kwd>технический прогресс</kwd><kwd>мировая экономика</kwd><kwd>долгосрочное прогнозирование</kwd><kwd>методы моделирования экономики</kwd></kwd-group><kwd-group xml:lang="en"><kwd>technological change</kwd><kwd>technical progress</kwd><kwd>global economy</kwd><kwd>long-run forecasting</kwd><kwd>economic modeling</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">Гранберг А. Г. (1988). Динамические модели народного хозяйства М.: Экономика.</mixed-citation><mixed-citation xml:lang="en">Granberg A. G. (1988). 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