The research of Russian’s inflation expectations under sanctions based on big data

Anastasia Matevosova ()
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Anastasia Matevosova: Department of Economics, Lomonosov Moscow State University

No 57, Working Papers from Moscow State University, Faculty of Economics

Abstract: In 2022, Russian economy faced unprecedented sanctions pressure from the collective West. Against this background, the government and the Central Bank need to constantly monitor the economic situation in the Russian Federation in order to take timely and effective measures. A high-frequency indicator of inflation expectations based on big data can help in the solution of this problem. The article presents significant shortcomings leading to the inapplicability of existing common approaches to the assessment of inflation expectations under sanctions. Based on the constructed high-frequency indicators of inflation expectations, contribution of sanctions to the formation of inflation expectations and sanctions concerns, the impact of sanctions on the inflation expectations of Russian population is analyzed. The method of the assessment inflation expectations based on big data has confirmed its effectiveness in the conditions of sanctions. This method proved the impact of sanctions on the formation of inflation expectations of the Russian population.

Keywords: sanctions; inflation expectations; high-frequency indicator; inflation (search for similar items in EconPapers)
JEL-codes: C55 C82 D84 E31 F51 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2023-05
New Economics Papers: this item is included in nep-cis, nep-inv and nep-mon
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