IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v41y2025i2p517-531.html
   My bibliography  Save this article

Cognitive reflection, arithmetic ability and financial literacy independently predict both inflation expectations and forecast accuracy

Author

Listed:
  • Comerford, David A.

Abstract

Cognitive reflection is defined as the tendency to detect and check intuitive errors and has been found to predict forecast accuracy in a range of domains. The current research demonstrates in a purpose-designed survey that a question in the Survey of Consumer Expectations serves as a test of cognitive reflection. Using this measure, I demonstrate for the first time in a time-series of inflation expectations that cognitive reflection is associated with greater forecast accuracy. I then apply this insight to interrogate the spike in inflation expectations that occurred over the year 2021. The data rule out that the spike was driven by respondents low in cognitive reflection, who are most vulnerable to overreacting to recent news. These results are insightful for the use of survey data not only in forecasting inflation but in forecasting more generally.

Suggested Citation

  • Comerford, David A., 2025. "Cognitive reflection, arithmetic ability and financial literacy independently predict both inflation expectations and forecast accuracy," International Journal of Forecasting, Elsevier, vol. 41(2), pages 517-531.
    • Handle: RePEc:eee:intfor:v:41:y:2025:i:2:p:517-531
    DOI: 10.1016/j.ijforecast.2024.06.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169207024000657
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijforecast.2024.06.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Hirshleifer, David & Li, Jun & Yu, Jianfeng, 2015. "Asset pricing in production economies with extrapolative expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 87-106.
    2. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    3. Francesco D’Acunto & Daniel Hoang & Michael Weber, 2022. "Managing Households’ Expectations with Unconventional Policies," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1597-1642.
    4. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270, National Bureau of Economic Research, Inc.
    5. Yash P. Mehra, 2002. "Survey measures of expected inflation : revisiting the issues of predictive content and rationality," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 17-36.
    6. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2023. "IQ, Expectations, and Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2292-2325.
    7. repec:cup:judgdm:v:16:y:2021:i:4:p:1072-1096 is not listed on IDEAS
    8. Verbrugge, Randal & Zaman, Saeed, 2024. "Improving inflation forecasts using robust measures," International Journal of Forecasting, Elsevier, vol. 40(2), pages 735-745.
    9. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert van der Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 505-536, May.
    10. Comerford, David A., 2021. "Apparent age and gender differences in survival optimism: To what extent are they a bias in the translation of beliefs onto a percentage scale?," Judgment and Decision Making, Cambridge University Press, vol. 16(4), pages 1072-1096, July.
    11. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2017. "Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 1-35, July.
    12. repec:cup:judgdm:v:11:y:2016:i:1:p:99-113 is not listed on IDEAS
    13. Himmelstein, Mark & Atanasov, Pavel & Budescu, David V., 2021. "Forecasting forecaster accuracy: Contributions of past performance and individual differences," Judgment and Decision Making, Cambridge University Press, vol. 16(2), pages 323-362, March.
    14. Niu, Xiaoxiao & Harvey, Nigel, 2023. "Are lay expectations of inflation based on recall of specific prices? If so, how and under what conditions?," Journal of Economic Psychology, Elsevier, vol. 98(C).
    15. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    16. Thomson, Keela S. & Oppenheimer, Daniel M., 2016. "Investigating an alternate form of the cognitive reflection test," Judgment and Decision Making, Cambridge University Press, vol. 11(1), pages 99-113, January.
    17. Alós-Ferrer, Carlos & Hügelschäfer, Sabine, 2016. "Faith in intuition and cognitive reflection," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 61-70.
    18. Mary A. Burke & Michael Manz, 2014. "Economic Literacy and Inflation Expectations: Evidence from a Laboratory Experiment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1421-1456, October.
    19. Francesco D’Acunto & Ulrike Malmendier & Michael Weber, 2021. "Gender roles produce divergent economic expectations," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(21), pages 2008534118-, May.
    20. Olivier Armantier & Giorgio Topa & Wilbert Van der Klaauw & Basit Zafar, 2017. "An overview of the Survey of Consumer Expectations," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 51-72.
    21. Olivier Coibion & Yuriy Gorodnichenko & Michael Weber, 2022. "Monetary Policy Communications and Their Effects on Household Inflation Expectations," Journal of Political Economy, University of Chicago Press, vol. 130(6), pages 1537-1584.
    22. repec:cup:judgdm:v:16:y:2021:i:2:p:323-362 is not listed on IDEAS
    23. Gwangmin Kim & Carola Binder, 2023. "Learning-through-Survey in Inflation Expectations," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 254-278, April.
    24. Becker, Christoph & Duersch, Peter & Eife, Thomas, 2023. "Measuring Inflation Expectations: How the Response Scale Shapes Density Forecasts," Working Papers 0727, University of Heidelberg, Department of Economics.
    25. Francesco D'Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2019. "Cognitive Abilities and Inflation Expectations," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 562-566, May.
    26. Hoppe, Eva I. & Kusterer, David J., 2011. "Behavioral biases and cognitive reflection," Economics Letters, Elsevier, vol. 110(2), pages 97-100, February.
    27. Da, Zhi & Huang, Xing & Jin, Lawrence J., 2021. "Extrapolative beliefs in the cross-section: What can we learn from the crowds?," Journal of Financial Economics, Elsevier, vol. 140(1), pages 175-196.
    28. Francesco D’Acunto & Ulrike Malmendier & Michael Weber, 2021. "Gender roles produce divergent economic expectations," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(21), pages 2008534118-, May.
    29. Keela S. Thomson & Daniel M. Oppenheimer, 2016. "Investigating an alternate form of the cognitive reflection test," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(1), pages 99-113, January.
    30. Brent Meyer & Guhan Venkatu & Saeed Zaman, 2013. "Forecasting inflation? Target the middle," Economic Commentary, Federal Reserve Bank of Cleveland, issue Apr.
    31. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 505-536, May.
    32. Drerup, Tilman & Enke, Benjamin & von Gaudecker, Hans-Martin, 2017. "The precision of subjective data and the explanatory power of economic models," Journal of Econometrics, Elsevier, vol. 200(2), pages 378-389.
    33. Ulrike Malmendier & Stefan Nagel, 2016. "Learning from Inflation Experiences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 53-87.
    34. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    35. Mark Himmelstein & Pavel Atanasov & David V. Budescu, 2021. "Forecasting forecaster accuracy: Contributions of past performance and individual differences," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(2), pages 323-362, March.
    36. David A. Comerford, 2021. "Apparent age and gender differences in survival optimism: To what extent are they a bias in the translation of beliefs onto a percentage scale?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(4), pages 1072-1096, July.
    37. Comerford, David A., 2019. "Asking for frequencies rather than percentages increases the validity of subjective probability measures: Evidence from subjective life expectancy," Economics Letters, Elsevier, vol. 180(C), pages 33-35.
    38. Francesco D’Acunto & Ulrike Malmendier & Juan Ospina & Michael Weber, 2021. "Exposure to Grocery Prices and Inflation Expectations," Journal of Political Economy, University of Chicago Press, vol. 129(5), pages 1615-1639.
    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. Dräger, Lena & Gründler, Klaus & Potrafke, Niklas, 2025. "Political shocks and inflation expectations: Evidence from the 2022 Russian invasion of Ukraine," Journal of International Economics, Elsevier, vol. 153(C).
    2. Crump, Richard K. & Eusepi, Stefano & Tambalotti, Andrea & Topa, Giorgio, 2022. "Subjective intertemporal substitution," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 118-133.
    3. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2023. "IQ, Expectations, and Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2292-2325.
    4. Viral V. Acharya & Matteo Crosignani & Tim Eisert & Christian Eufinger, 2023. "How Do Supply Shocks to Inflation Generalize? Evidence from the Pandemic Era in Europe," NBER Working Papers 31790, National Bureau of Economic Research, Inc.
    5. Gonzalez-Fernandez, Pedro & Bosch-Rosa, Ciril & Meissner, Thomas, 2025. "Direct Elicitation of Parametric Belief Distributions: An application to inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 233(C).
    6. Michael Weber & Yuriy Gorodnichenko & Olivier Coibion, 2023. "The Expected, Perceived, and Realized Inflation of US Households Before and During the COVID19 Pandemic," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 326-368, March.
    7. Andrade, Philippe & Gautier, Erwan & Mengus, Eric, 2023. "What matters in households’ inflation expectations?," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 50-68.
    8. Jonas Dovern & Alexander Glas & Geoff Kenny, 2024. "Testing for differences in survey‐based density expectations: A compositional data approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1104-1122, September.
    9. Dräger, Lena & Lamla, Michael J. & Pfajfar, Damjan, 2024. "How to limit the spillover from an inflation surge to inflation expectations?," Journal of Monetary Economics, Elsevier, vol. 144(C).
    10. Peter Andre & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Narratives about the Macroeconomy," CEBI working paper series 21-18, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    11. Sarantis Tsiaplias, 2024. "Inflation as a 'bad', heuristics and aggregate shocks: New evidence on expectation formation," Melbourne Institute Working Paper Series wp2024n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Ángelo Gutiérrez-Daza, 2024. "Business Cycles when Consumers Learn by Shopping," Working Papers 2024-12, Banco de México.
    13. Hoffmann, Mathias & Moench, Emanuel & Pavlova, Lora & Schultefrankenfeld, Guido, 2022. "Would households understand average inflation targeting?," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 52-66.
    14. Dietrich, Alexander M. & Kuester, Keith & Müller, Gernot J. & Schoenle, Raphael, 2022. "News and uncertainty about COVID-19: Survey evidence and short-run economic impact," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 35-51.
    15. Pavlova, Lora, 2025. "Framing effects in consumer expectations surveys," Journal of Economic Behavior & Organization, Elsevier, vol. 231(C).
    16. Cornand, Camille & Hubert, Paul, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    17. Link, Sebastian & Peichl, Andreas & Roth, Christopher & Wohlfart, Johannes, 2023. "Information frictions among firms and households," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 99-115.
    18. Becker, Christoph & Dürsch, Peter & Eife, Thomas A. & Glas, Alexander, 2023. "Households' probabilistic inflation expectations in high-inflation regimes," ZEW Discussion Papers 23-072, ZEW - Leibniz Centre for European Economic Research.
    19. Davig, Troy & Foerster, Andrew, 2023. "Communicating Monetary Policy Rules," European Economic Review, Elsevier, vol. 151(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:intfor:v:41:y:2025:i:2:p:517-531. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    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.