Statistical modeling of the depending dollar against the ruble on oil prices
Автор: Bazilevsky M.P., Gefan G.D.
Журнал: Экономика и бизнес: теория и практика @economyandbusiness
Статья в выпуске: 9 (9), 2015 года.
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This article analyzes the dependence of the US dollar against the ruble on the price of oil brand Brent. A simple linear regression model, in which an irregularity preconditions for autocorrelation regression errors, was created. Two methods resolve this issue: using the Cochrane-Orcutt procedure and by introducing additional lagged variables. As a result, adequate regression model with lagged variables was created.
Time series, regression model, least squares method, autocorrelation of errors regression, coefficient autoregression, procedure cochran-orcutt
Короткий адрес: https://sciup.org/170179994
IDR: 170179994