Inflation and Attention Thresholds in Ukraine
a National Bank of Ukraine, Kyiv, Ukraine
Abstract

This article investigates the relationship between inflation levels and public attention to inflation in Ukraine. Specifically, it estimates a threshold value of inflation above which the population’s attention to inflation intensifies. The analysis utilizes monthly inflation data and the Google Trends index for the period spanning January 2017 to January 2022. A threshold generalized linear model is employed to model and estimate the attention threshold. For the selected period, the estimated attention threshold for inflation in Ukraine is 9.9%. Beyond this point, public attention to inflation initially increases sharply before gradually declining. Awareness of this critical value can enable the National Bank of Ukraine to respond more swiftly to emerging crisis situations. Furthermore, this quantification can assist the National Bank, along with other domestic and international experts and organizations, in more precisely defining and communicating the concept of high inflation to the Ukrainian populace.

Publication History
Received 1 August 2024
Accepted 28 July 2025
Avaliable online 28 November 2025
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Cite as: Homeniuk, M. (2025). Inflation and Attention Thresholds in Ukraine. Visnyk of the National Bank of Ukraine (Occasional Papers, 2025/05). https://doi.org/10.26531/vnbu2025.op05
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Adrian, T. (2023). The Role of Inflation Expectations in Monetary Policy: Remarks (May 15 2023). International Monetary Fund. https://www.imf.org/en/News/Articles/2023/05/15/sp-role-inflation-expectations-monetary-policy-tobias-adrian

Azam, M., Khan, S. (2020). Threshold effects in the relationship between inflation and economic growth: Further empirical evidence from the developed and developing world. International Journal of Finance & Economics, 27(4). https://doi.org/10.1002/ijfe.2368

Bracha, A., Tang, J. (2025). Inflation levels and (in)attention. The Review of Economic Studies, 92(3), 1564–1594. https://doi.org/10.1093/restud/rdae063

Buelens, C. (2023). Googling ‘inflation’: What does internet search behaviour reveal about household (in)attention to inflation and monetary policy? European Economy Discussion Paper, 183. European Commission. https://doi.org/10.2765/843032

Cavallo, A., Cruces, G., Perez-Truglia, R. (2017). Inflation expectations, learning, and supermarket prices: Evidence from survey experiments. American Economic Journal: Macroeconomics, 9(3), 1–35. https://doi.org/10.1257/mac.20150147

van der Cruijsen, C., de Haan, J., van Rooij, M. (2023). The impact of high inflation on trust in national politics and central banks. DNB Working Papers, 726. De Nederlandsche Bank. https://www.dnb.nl/media/2bnfg2uw/working_paper_no_762.pdf

Evans, G. W., Ramey, G. (1995). Expectation calculation, hyperinflation and currency collapse. In Dixon, H. D., Rankin, N. (Eds.), The New Macroeconomics: Imperfect Markets and Policy Effectiveness, pp. 307–336. Cambridge University Press.

Fong, Y., Huang, Y., Gilbert, P. B., Permar, S. R. (2017). chngpt: Threshold regression model estimation and inference. BMC Bioinformatics, 18, 454. https://doi.org/10.1186/s12859-017-1863-x

Fraser-Mackenzie, P., Sung, M., Johnson, J. E. V. (2015). The prospect of a perfect ending: Loss aversion and the round-number bias. Organizational Behavior and Human Decision Processes, 131, 67–80. https://doi.org/10.1016/j.obhdp.2015.08.004

Goodhart, C. A. E. (2003). The constitutional position of the central bank. In Friedman, M., Goodhart, C. A. E. (Eds.), Money, Inflation and the Constitutional Position of the Central Bank, pp. 99–106. Institute of Economic Affairs.

Hwang, J.-T., Wu, M.-J. (2011). Inflation and economic growth in China: An empirical analysis. China & World Economy, 19(5), 67–84. https://doi.org/10.1111/j.1749-124x.2011.01259.x

Khan, M. S., Senhadji, A. S. (2001). Threshold effects in the relationship between inflation and growth. IMF Economic Review, 48(1), 1–21. https://doi.org/10.2307/4621658

Korenok, O., Munro, D., Chen, J. (2023). Inflation and attention thresholds. The Review of Economics and Statisticsm, 1–28. https://doi.org/10.1162/rest_a_01402

Kremer, S., Bick, A., Nautz, D. (2012). Inflation and growth: New evidence from a dynamic panel threshold analysis. Empirical Economics, 44(2), 861–878. https://doi.org/10.1007/s00181-012-0553-9

Maćkowiak, B., Matějka, F., Wiederholt, M. (2023). Rational inattention: A review. Journal of Economic Literature, 61(1), 226–273. https://doi.org/10.1257/jel.20211524

Massicotte, P., Eddelbuettel, D. (n.d.). gtrendsR: Perform and display Google Trends queries (R package manual, Version 1.5.0). CRAN. https://cran.r-project.org/web/packages/gtrendsR/gtrendsR.pdf

Mishchenko, V., Naumenkova, S., Mishchenko, S., Ivanov, V. (2018). Inflation and economic growth: The search for a compromise for the central bank’s monetary policy. Banks and Bank Systems, 13(2), 153–163. https://doi.org/10.21511/bbs.13(2).2018.13

NBU (2024). In search of optimal flexibility – What is an acceptable deviation of inflation from the target? Inflation Report, October 2024, Box 2, pp. 17–19. National Bank of Ukraine. https://bank.gov.ua/admin_uploads/article/IR_2024-Q4_en.pdf

Ndoricimpa, A. (2017). Threshold effects of inflation on economic growth: Is Africa different? International Economic Journal, 31(4), 599–620. https://doi.org/10.1080/10168737.2017.1380679

Pfäuti, O. (2023). The inflation attention threshold and inflation surges. arXiv. https://arxiv.org/abs/2308.09480

Sax, C., Eddelbuettel, D. (2018). Seasonal adjustment by X-13ARIMA-SEATS in R. Journal of Statistical Software, 87(11), 1–17. https://doi.org/10.18637/jss.v087.i11

Singh, K., Xie, M. (2008). Bootstrap: A Statistical Method: [Unpublished manuscript]. Rutgers University. https://statweb.rutgers.edu/mxie/rcpapers/bootstrap.pdf

Vanayagathasan, T. (2013). Inflation and economic growth: A dynamic panel threshold analysis for Asian economies. Journal of Asian Economics, 26, 31–41. https://doi.org/10.1016/j.asieco.2013.04.001

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