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What do Sentiment Surveys Measure?

Author

Listed:
  • Ivan Roberts

    (Reserve Bank of Australia)

  • John Simon

    (Reserve Bank of Australia)

Abstract

Indices of business and consumer sentiment receive widespread media coverage and are closely watched by market economists despite their limited success as leading indicators. In this paper we ask what explains ‘sentiment’ and find that lagged economic indicators (such as changes in GDP, job vacancies and the cash rate) can explain a substantial proportion of the variation in a number of backward and forward-looking sentiment indices. This does not rule out the possibility that they may be useful for forecasting. We find, however, that when currently available economic information is appropriately ‘filtered’ from the sentiment indices, in most cases they fail even rudimentary Granger-causality tests of predictive ability. On a more positive note, we find that the Roy Morgan consumer confidence rating, NAB actual business conditions, NAB expected employment outlook over the next three months and the second question in the Roy Morgan and Westpac/MI consumer surveys all provide some, albeit small, contribution to forecasting employment growth. The second question of both consumer confidence surveys (which asks about anticipated personal financial conditions over the coming year) also appears to have some ability to predict recessions. Outside of these results there is little evidence that the surveys tell us anything we didn’t already know. Thus, there is reason to suspect that surveyed respondents’ forecasts offer little more information about the future path of the economy than a weighted average of lagged economic variables.

Suggested Citation

  • Ivan Roberts & John Simon, 2001. "What do Sentiment Surveys Measure?," RBA Research Discussion Papers rdp2001-09, Reserve Bank of Australia.
  • Handle: RePEc:rba:rbardp:rdp2001-09
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    References listed on IDEAS

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    Cited by:

    1. Marta Necadova, 2019. "Changes in Economic Sentiment Indicators before and after Economic Crisis (Position of Visegrad Group and Germany in EU)," Central European Business Review, Prague University of Economics and Business, vol. 2019(4), pages 55-85.
    2. Deimante Teresiene & Greta Keliuotyte-Staniuleniene & Yiyi Liao & Rasa Kanapickiene & Ruihui Pu & Siyan Hu & Xiao-Guang Yue, 2021. "The Impact of the COVID-19 Pandemic on Consumer and Business Confidence Indicators," JRFM, MDPI, vol. 14(4), pages 1-23, April.
    3. Aleksejs Melihovs & Svetlana Rusakova, 2005. "Short-Term Forecasting of Economic Development in Latvia Using Business and Consumer Survey Data," Working Papers 2005/04, Latvijas Banka.
    4. Christian Gillitzer & Nalini Prasad, 2016. "The Effect of Consumer Sentiment on Consumption," RBA Research Discussion Papers rdp2016-10, Reserve Bank of Australia.
    5. Aslı Yüksel Mermod & Gitana Dudzevičiūtė, 2011. "Frequency domain analysis of consumer confidence, industrial production and retail sales for selected european countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 12(4), pages 589-602, March.
    6. Kim Nguyen & Gianni La Cava, 2020. "Start Spreading the News: News Sentiment and Economic Activity in Australia," RBA Research Discussion Papers rdp2020-08, Reserve Bank of Australia.
    7. Ali Al‐Eyd & Ray Barrell & E. Philip Davis, 2009. "Consumer Confidence Indices And Short‐Term Forecasting Of Consumption," Manchester School, University of Manchester, vol. 77(1), pages 96-111, January.
    8. Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    9. Chris Aylmer & Troy Gill, 2003. "Business Surveys and Economic Activity," RBA Research Discussion Papers rdp2003-01, Reserve Bank of Australia.
    10. Muhammad Ashraf & Arslan Ali Raza & Muhammad Ishaq & Wareesa Sharif & Asad Abbas, 2022. "Real-Time Extraction and Annotation of Social Media Contents for Predicting National Consumer Confidence Index," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 292-309, December.
    11. Luke Hartigan & Tom Rosewall, 2024. "Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator," Working Papers 2024-15, University of Sydney, School of Economics.
    12. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2007. "Consumer confidence in Europe : United in diversity," Other publications TiSEM ea8c3268-2c0b-4fcc-9d4a-6, Tilburg University, School of Economics and Management.
    13. Gelper, S. & Lemmens, A. & Croux, C., 2007. "Consumer sentiment and consumer spending : Decomposing the granger causal relationship in the time domain," Other publications TiSEM 55ac7230-2985-41f1-a42c-7, Tilburg University, School of Economics and Management.
    14. Roberto Golinelli & Giuseppe Parigi, 2003. "What is this thing called confidence? A comparative analysis of consumer confidence indices in eight major countries," Temi di discussione (Economic working papers) 484, Bank of Italy, Economic Research and International Relations Area.
    15. Muhammad Ashraf & Arslan Ali Raza & Muhammad Ishaq, 2022. "A Novel Approach Of Social Media Analytics For Predicting National Consumer Confidence Index," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 11(2), pages 220-234, June.
    16. Gianni La Cava, 2021. "Smells Like Animal Spirits: The Effect of Corporate Sentiment on Investment," RBA Research Discussion Papers rdp2021-11, Reserve Bank of Australia.
    17. Jin Cong Wang & Laura Berger-Thomson, 2015. "Consumer Sentiment Surveys," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 1-8, December.

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    More about this item

    Keywords

    business; confidence; consumer; forecasting; predictive ability; sentiment; survey;
    All these keywords.

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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