Short-Term Inflation Projection Based on Marker Models
- 作者: Balatskii E.V.1, Ekimova N.A.2, Yurevich M.A.2
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隶属关系:
- Central Economics and Mathematics Institute, Russian Academy of Sciences
- Financial University under the Government of the Russian Federation
- 期: 卷 30, 编号 5 (2019)
- 页面: 498-506
- 栏目: Macroeconomic Problems
- URL: https://journals.rcsi.science/1075-7007/article/view/214481
- DOI: https://doi.org/10.1134/S1075700719050034
- ID: 214481
如何引用文章
详细
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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