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Моделирование Неравенства Доходов Населения С Учетом Пространственной Зависимости В Рф

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  • Tatiana Yu. Ivakhnenko

    (Russian Presidential Academy of National Economy and Public Administration)

Abstract

В работе тестируется наличие пространственной зависимости в модели неравенства доходов населения для 77 регионов РФ в период 2004–2020 гг. Для этой цели оцениваются пространственные и панельные модели с включением пространственных лагов в зависимой переменной (SAR), а также ошибках (SEM) модели неравенства доходов. Результаты оценивания как пространственных, так и панельных моделей с фиксированными эффектами регионов свидетельствуют о существовании положительной пространственной корреляции как в уровне, так и в шоках неравенства доходов. Основной вывод состоит в том, что уровень неравенства доходов в данном регионе положительно зависит от уровня и шоков неравенства доходов в соседних регионах. В качестве возможных каналов такого влияния рассматриваются межрегиональные миграция, трансферты, а также торговля.

Suggested Citation

  • Tatiana Yu. Ivakhnenko, 2023. "Моделирование Неравенства Доходов Населения С Учетом Пространственной Зависимости В Рф," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 7, pages 21-28, July.
  • Handle: RePEc:gai:ruserr:r2355
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    References listed on IDEAS

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    More about this item

    Keywords

    индекс Джини; неравенство доходов; пространственные модели; регионы России;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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