IDEAS home Printed from https://ideas.repec.org/p/bca/bocadp/25-11.html
   My bibliography  Save this paper

Synthesizing Signals from the Canadian Survey of Consumer Expectations

Author

Listed:
  • Jacob Dolinar
  • Patrick Sabourin
  • Matt West

Abstract

We introduce a summary indicator based on the Canadian Survey of Consumer Expectations (CSCE). This indicator provides a summary measure of consumer opinions that we can track over time. We construct three underlying sub-indexes—financial health, labour market and consumer spending—that capture different factors influencing consumers’ daily lives. We also leverage the rich demographic information available in the CSCE to construct summary indicators for different groups defined by characteristics such as age, home-ownership status and income. We show that there is significant heterogeneity across different demographic groups. This heterogeneity helps us understand how economic shocks disproportionately impact some households. Finally, we investigate which macroeconomic variables drive changes in the CSCE indicator and show that the fundamental drivers vary over time.

Suggested Citation

  • Jacob Dolinar & Patrick Sabourin & Matt West, 2025. "Synthesizing Signals from the Canadian Survey of Consumer Expectations," Discussion Papers 2025-11, Bank of Canada.
  • Handle: RePEc:bca:bocadp:25-11
    DOI: 10.34989/sdp-2025-11
    as

    Download full text from publisher

    File URL: https://doi.org/10.34989/sdp-2025-11
    File Function: Abstract
    Download Restriction: no

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2025/07/sdp2025-11.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.34989/sdp-2025-11?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
    ---><---

    References listed on IDEAS

    as
    1. Kajal Lahiri & Yongchen Zhao, 2016. "Determinants of Consumer Sentiment Over Business Cycles: Evidence from the US Surveys of Consumers," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(2), pages 187-215, December.
    2. Marwane El Alaoui & Elie Bouri & Nehme Azoury, 2020. "The Determinants of the U.S. Consumer Sentiment: Linear and Nonlinear Models," IJFS, MDPI, vol. 8(3), pages 1-13, July.
    3. Scott A. Brave & Jacob S. Herbstman, 2023. "Persistently Pessimistic: Consumer and Small Business Sentiment After the Covid Recession," Chicago Fed Letter, Federal Reserve Bank of Chicago, vol. 0, pages 1-9, November.
    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. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2022. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 29-50, Emerald Group Publishing Limited.
    2. Zhao, Yongchen, 2019. "Updates to household inflation expectations: Signal or noise?," Economics Letters, Elsevier, vol. 181(C), pages 95-98.
    3. An, Zidong & Liu, Dingqian & Wu, Yuzheng, 2021. "Expectation formation following pandemic events," Economics Letters, Elsevier, vol. 200(C).
    4. Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019. "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia 1063, Banco de la Republica de Colombia.
    5. Liudmila Kitrar & Tamara Lipkind & Georgy Ostapkovich, 2020. "Information Content of Russian Services Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(1), pages 59-74, April.
    6. Choi, Sangyup & Jeong, Jaehun & Yoo, Donghoon, 2024. "How to interpret consumer confidence shocks? State-level evidence," Economics Letters, Elsevier, vol. 244(C).
    7. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
    8. Lenka Mynaříková & Vít Pošta, 2023. "The Effect of Consumer Confidence and Subjective Well-being on Consumers’ Spending Behavior," Journal of Happiness Studies, Springer, vol. 24(2), pages 429-453, February.
    9. E. Balatskiy V. & M. Yurevich A. & Е. Балацкий В. & М. Юревич А., 2018. "Прогнозирование инфляции: практика использования синтетических процедур // Inflation Forecasting: The Practice of Using Synthetic Procedures," Мир новой экономики // The world of new economy, Финансовый университет при Правительстве Российской Федерации // Financial University under The Governtment оf The Russian Federation, vol. 12(4), pages 20-31.
    10. Wang, Ben Zhe & Sheen, Jeffrey & Trück, Stefan & Chao, Shih-Kang & Härdle, Wolfgang Karl, 2020. "A Note On The Impact Of News On Us Household Inflation Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 24(4), pages 995-1015, June.
    11. Hardik A. Marfatia & Christophe André & Rangan Gupta, 2022. "Predicting Housing Market Sentiment: The Role of Financial, Macroeconomic and Real Estate Uncertainties," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(2), pages 189-209, May.
    12. Yongchen Zhao, 2022. "Uncertainty and disagreement of inflation expectations: Evidence from household‐level qualitative survey responses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 810-828, July.
    13. Allen N. Berger & Felix Irresberger & Raluca A. Roman, 2020. "Bank Size and Household Financial Sentiment: Surprising Evidence from University of Michigan Surveys of Consumers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 149-191, October.
    14. Sangyup Choi & Jaehun Jeong & Dohyeon Park & Donghoon Yoo, 2024. "News or animal spirits? Consumer confidence and economic activity: Redux," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 960-966, August.
    15. Marwane El Alaoui & Elie Bouri & Nehme Azoury, 2020. "The Determinants of the U.S. Consumer Sentiment: Linear and Nonlinear Models," IJFS, MDPI, vol. 8(3), pages 1-13, July.
    16. Daniel Borup & Jorge Wolfgang Hansen & Benjamin Dybro Liengaard & Erik Christian Montes Schütte, 2023. "Quantifying investor narratives and their role during COVID‐19," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 512-532, June.
    17. Petar Soric & Mateo Zokalj & Marija Logarusic, 2020. "Economic determinants of Croatian consumer confidence: real estate prices vs. macroeconomy," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 18(2B), pages 240-257.
    18. Douglas de Medeiros Franco, 2022. "Expectations, Economic Uncertainty, and Sentiment," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(5), pages 210029-2100.
    19. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    20. Syed M. Hussain, Zara Liaqat, 2025. "News Shocks, Consumer Confidence, and Business Cycles," LCERPA Working Papers jc0155, Laurier Centre for Economic Research and Policy Analysis, revised Apr 2025.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

    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:bca:bocadp:25-11. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.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.