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Эконометрическое Моделирование Цены Однокомнатной Квартиры Методом Географически Взвешенной Регрессии

Author

Listed:
  • НОСОВ В.В.

    (Российский государственный социальный университет, Москва)

  • ЦЫПИН А.П.

    (Оренбургский государственный университет)

Abstract

Выявление и измерение взаимозависимостей на рынке жилья является одним из ключевых вопросов, исследуемых эконометрическими методами. По сравнению с традиционными методами, географически взвешенная регрессия расширяет понимание того, как принадлежность единицы совокупности к конкретным географическим координатам влияет на зависимость между регрессорами и ценой на недвижимость. В связи с этим целью данного исследования явился анализ пространственных различий на цену однокомнатных квартир, представленных на вторичном рынке жилья г. Оренбурга. Методы. В работе были использованы метод кластерного анализа, графический метод, дисперсионный анализ, классическая регрессионная модель и географически взвешенная регрессия. Результаты. Оценка параметров глобальной (общей) модели методом наименьших квадратов (МНК) и географически взвешенной регрессией (ГВР), показало, что ГВР имеет лучшую подгонку и служит доказательством пространственной дифференциации коэффициентов регрессии. Выводы. При моделировании цены однокомнатной квартиры следует отдать предпочтение географически взвешенной регрессии, поскольку в ней оцениваются коэффициенты регрессии для каждого объекта совокупности и, следовательно, отражаются географические различия в зависимостях, что труд-но отобразить уравнением общей регрессии.

Suggested Citation

  • Носов В.В. & Цыпин А.П., 2015. "Эконометрическое Моделирование Цены Однокомнатной Квартиры Методом Географически Взвешенной Регрессии," Izvestiya of Saratov University. New Series. Series: Economics. Management. Law Известия Саратовского университета. Новая серия. Серия Экономика. Управление. Право, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Саратовский национальный исследовательский государственный университет имени Н. Г. Чернышевского», vol. 15(4), pages 381-387.
    • Handle: RePEc:scn:002275:16390002
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    References listed on IDEAS

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