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Техданные О Ценах Онлайн-Ритейлеров Обладают Огромной Ценностью С Точки Зрения Экономической Науки: Их Использование Позволяет Уточнять Прогнозы Инфляции И Предвосхищать Будущие Тенденции В Моменте, Корректировать Оценки Жесткости Цен И Выводы Теоретических Моделей Ценообразования, Проверять Закон Единой Цены И Т.Д. Однако В Процессе Сбора Данных Возникают Серьезные Трудности, Которые Являются Неочевидными И Могут Угрожать Как Качеству Собираемых Данных, Так И Устойчивости Процесса Их Сбора Во Времени. В Статье Впервые Подробно Обсуждаются Технические И Методологические Проблемы, Которые Препятствуют Непрерывному Сбору Данных В Сети, А Также Представлен Опыт Решения Этих Проблем; Обсуждаются Плюсы И Минусы Таких Решений. Статья Подготовлена В Рамках Выполнения Научно-Исследовательской Работы Государственного Задания Ранхигс При Президенте Российской Федерации На 2022 Год

Author

Listed:
  • Alexey S. Evseev

    (Russian Presidential Academy of National Economy and Public Administration)

  • Rodion R. Latypov

    (JSC Arowana Capital)

  • Egor A. Postolit

    (JSC Arowana Capital)

  • Elena S. Sinelnikova-Muryleva

    (Russian Presidential Academy of National Economy and Public Administration)

Abstract

No abstract is available for this item.

Suggested Citation

  • Alexey S. Evseev & Rodion R. Latypov & Egor A. Postolit & Elena S. Sinelnikova-Muryleva, 2022. "Техданные О Ценах Онлайн-Ритейлеров Обладают Огромной Ценностью С Точки Зрения Экономической Науки: Их Использование Позволяет Уточнять Прогнозы Инфляции И Предвосхищать Будущие Тенденции В Моменте, К," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 11, pages 36-45, November.
    • Handle: RePEc:gai:ruserr:r2295
    as

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    References listed on IDEAS

    as
    1. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    2. Alberto Cavallo, 2018. "Scraped Data and Sticky Prices," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 105-119, March.
    3. Cavallo, Alberto, 2013. "Online and official price indexes: Measuring Argentina's inflation," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 152-165.
    4. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    цены онлайн-ритейлеров; парсинг; инфляция; альтернативные данные; big data;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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