Abstract
This article examines the impact of sanctions concerns on the inflation expectations of the Russian population during the period of large-scale sanctions in 2022–2023. Using the methods of text processing of data from posts and comments on the social network, indicators of inflation expectations and sanctions concern were built with a weekly frequency and then used in econometric modeling. By evaluating autoregressive models of the integrated moving average with generalized autoregressive conditional heteroscedasticity in residuals and exogenous regressors (ARIMA-X-GARCH-X), an attempt has been made to model both the value and volatility of inflation expectations. As a result, it was revealed that increased sanctions concern, other things being equal, leads to an increase in inflation expectations, but does not affect the uncertainty of the population regarding inflation expectations. Despite the detection of weak structural changes, the degree of impact of sanctions concern on the inflation expectations of the Russian population is relatively stable in the period from March 2022 to December 2023.
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