Short-Term Inflation Projection Based on Marker Models


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The article proposes a hybrid model for inflation projection that combines econometric and neural network models. At the same time, both factor variables and market markers of consumer price index growth are used as explanatory variables. It has been shown that such an approach makes it possible both to maintain the theoretical fullness of the model and to ensure high accuracy of calculations, which is unattainable when using only one type of model toolkit.

作者简介

E. Balatskii

Central Economics and Mathematics Institute, Russian Academy of Sciences

Email: n.ekimova@bk.ru
俄罗斯联邦, Moscow

N. Ekimova

Financial University under the Government of the Russian Federation

编辑信件的主要联系方式.
Email: n.ekimova@bk.ru
俄罗斯联邦, Moscow

M. Yurevich

Financial University under the Government of the Russian Federation

Email: n.ekimova@bk.ru
俄罗斯联邦, Moscow

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