IDEAS home Printed from https://ideas.repec.org/p/gii/giihei/heidwp14-2025.html

The Double-Digit Trigger: Estimating Inflation Attention Thresholds in Ukraine Using Parliamentary Speeches

Author

Listed:
  • Maksym Homeniuk

    (National Bank of Ukraine)

Abstract

This paper estimates Ukraine's inflation attention threshold using a text-based proxy derived from the relative frequency of the word "inflation" in parliamentary speeches. During a relatively stable macroeconomic period between 2017 and 2022, the estimated threshold is approximately 9-10 percent. This finding aligns with results obtained using Google Trends data, where attention increased just prior to inflation reaching double-digit levels. Crucially, the parliamentary proxy also facilitates estimation for another stable period preceding the global financial crisis (2002-2007). The remarkably similar threshold estimates across both stable periods suggest that attention dynamics in Ukraine exhibit structural consistency under non-crisis conditions. These findings underscore the value of parliamentary speech analysis as a robust tool for tracking inflation salience in contexts with limited data availability.

Suggested Citation

  • Maksym Homeniuk, 2025. "The Double-Digit Trigger: Estimating Inflation Attention Thresholds in Ukraine Using Parliamentary Speeches," IHEID Working Papers 14-2025, Economics Section, The Graduate Institute of International Studies.
  • Handle: RePEc:gii:giihei:heidwp14-2025
    as

    Download full text from publisher

    File URL: http://repec.graduateinstitute.ch/pdfs/Working_papers/HEIDWP14-2025.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oliver Pfauti, 2023. "The Inflation Attention Threshold and Inflation Surges," Papers 2308.09480, arXiv.org, revised Aug 2024.
    2. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Edward S. Knotek & James Mitchell & Mathieu Pedemonte & Taylor Shiroff, 2024. "The Effects of Interest Rate Increases on Consumers' Inflation Expectations: The Roles of Informedness and Compliance," Working Papers 24-01R, Federal Reserve Bank of Cleveland, revised 05 Jun 2025.
    2. Persson, Petra, 2018. "Attention manipulation and information overload," Behavioural Public Policy, Cambridge University Press, vol. 2(1), pages 78-106, May.
    3. Kurt Lewis, 2009. "The Two-Period Rational Inattention Model: Accelerations and Analyses," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 79-97, February.
    4. Karun Adusumilli, 2022. "How to sample and when to stop sampling: The generalized Wald problem and minimax policies," Papers 2210.15841, arXiv.org, revised May 2025.
    5. Weijie Zhong, 2018. "The Indirect Cost of Information," Papers 1809.00697, arXiv.org, revised Apr 2020.
    6. Johannes Johnen, 2019. "Automatic‐renewal contracts with heterogeneous consumer inertia," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(4), pages 765-786, November.
    7. Bonomo, Marco Antônio Cesar & Terra, Maria Cristina T., 2005. "Special interests and political business cycles," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 597, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    8. Kim, Duk Gyoo & Yoon, Yeochang, 2019. "A theory of FAQs: Public announcements with rational ignorance," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 560-574.
    9. Goethner, Maximilian & Hornuf, Lars & Regner, Tobias, 2021. "Protecting investors in equity crowdfunding: An empirical analysis of the small investor protection act," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    10. Philippe Jehiel & Jakub Steiner, 2020. "Selective Sampling with Information-Storage Constraints [On interim rationality, belief formation and learning in decision problems with bounded memory]," The Economic Journal, Royal Economic Society, vol. 130(630), pages 1753-1781.
    11. Sebastian Eichfelder & Mona Lau, 2015. "Capitalization of capital gains taxes: (In)attention and turn-of-the-year returns," FEMM Working Papers 150019, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    12. Sergeyev, Dmitriy & Iovino, Luigi, 2018. "Central Bank Balance Sheet Policies Without Rational Expectations," CEPR Discussion Papers 13100, C.E.P.R. Discussion Papers.
    13. Jonas D. M. Fisher & Leonardo Melosi & Sebastian Rast, 2025. "Long-Run Inflation Expectations," Working Papers 829, DNB.
    14. Atahan Afsar; José Elías Gallegos; Richard Jaimes; Edgar Silgado Gómez & Jos� El�as Gallegos & Richard Jaimes & Edgar Silgado G�mez, 2020. "Reconciling Empirics and Theory: The Behavioral Hybrid New Keynesian Model," Vniversitas Económica, Universidad Javeriana - Bogotá, vol. 0(0), pages 1-41.
    15. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," Working Papers halshs-03735680, HAL.
    16. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    17. Benchimol, Jonathan & Bounader, Lahcen & Dotta, Mario, 2025. "Estimating Behavioral Inattention," Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).
    18. repec:esx:essedp:770 is not listed on IDEAS
    19. Han, Leyla Jianyu & Kasa, Kenneth & Luo, Yulei, 2024. "Ambiguity, information processing, and financial intermediation," Journal of Economic Theory, Elsevier, vol. 222(C).
    20. Luo, Yulei & Young, Eric R., 2016. "Induced uncertainty, market price of risk, and the dynamics of consumption and wealth," Journal of Economic Theory, Elsevier, vol. 163(C), pages 1-41.
    21. Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gii:giihei:heidwp14-2025. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dorina Dobre (email available below). General contact details of provider: https://edirc.repec.org/data/ieheich.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.