Abstract

In 2022, Russian economy faced unprecedented sanctions pressure from the Western countries. 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 solving this problem. The author identifies significant shortcomings of the existing approaches to the assessment of inflation expectations that make the possibility of their application under sanctions questionable. Based on the developed high-frequency indicators of inflation expectations, sanctions concern and the frequency of sanctions mentioning in the context of inflation expectations, she analyzes the impact of sanctions on the inflation expectations of the Russian population. The method of assessing inflation expectations based on big data has proved effective under sanctions and demonstrated the impact of sanctions on forming inflation expectations of the Russian population.

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