title: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ¸ Ð½Ð° ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÑÑ Ð´Ð¸Ð½Ð°Ð¼Ð¸ÐºÑ ÑÑÑÐ°Ð½Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Modeling the impact of the digital economy on the economic dynamics of the country
Creators: name: Ð£ÑÐ²Ð°Ð½ÑÐµÐ², ÐÐ¸ÑÐ°Ð¸Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ°
ÑÐ¸ÑÑÐ¾Ð²Ð¸Ð·Ð°ÑÐ¸Ñ
ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½Ð¾Ðµ Ð¿ÑÐ°Ð²Ð¸ÑÐµÐ»ÑÑÑÐ²Ð¾
ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¾Ðµ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ
digital economy
digitalization
e-government
economic forecasting
digital transformation

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description: Theme of the graduate qualification work of the bachelor: Â«Modeling the impact of the digital economy on the economic dynamics of the countryÂ». The purpose of the work â describing the key aspects of the digital economy and modeling its impact on the overall economic dynamics of the country. Tasks of work: - understanding the concepts of digital economy and digitalization; - assessment of the prospects for the development of digital technologies; - reviewing methods of economic forecasting; - assessment of digital economies current state and its development options. Work is performed on the basis of statistical data of the Russian Federationâs digital economy. Methods used: exponential smoothing with drifting and trends, prediction intervals, confidence intervals, trend line equations, Makridakis method. Work results: - studied the concepts of digital economy and digitalization, as well as the prospects for the development of digital technologies, which should help facilitate the digitalization process; - substantiated the difficulties and dangers of the rapid digitalization progress; - investigated various methods of economic forecasting; - proposed a multivariate forecasting model of key indicators of the digital economy. The practical significance of the work is reasoned by the need for a scientifically based judgment on the possible states of the digital economy in the future and on alternative ways of its development. First of all, this is necessary in order to understand what resources and technologies will be needed in the near future.