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What is this thing called confidence? A comparative analysis of consumer confidence indices in eight major countries

Author

Listed:
  • Roberto Golinelli

    (University of Bologna, Department of Economics)

  • Giuseppe Parigi

    (Banca d'Italia)

Abstract
The paper examines the evolution of consumer confidence indices in Australia, Canada, France, Germany, Italy, Japan, the United Kingdom and the United States of America since the 1970s, by modelling them in a multivariate framework of common macroeconomic variables for each country. Results suggest that: (a) the main economic determinants of consumer confidence cannot be summarized only on the basis of some macroeconomic variables; (b) consumer confidence indices have some ability to forecast economic activity, provided that both their coincident nature is taken into account and that a number of data-coherent parameter restrictions are imposed. A number of analyses (both insample and out-of-sample) are devoted to assessing the robustness of previous findings.

Suggested Citation

  • 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.
    • Handle: RePEc:bdi:wptemi:td_484_03
    as

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    References listed on IDEAS

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    Cited by:

    1. Francesco Spadafora, 2004. "Il pilastro privato del sistema previdenziale. Il caso del Regno Unito," Temi di discussione (Economic working papers) 503, Bank of Italy, Economic Research and International Relations Area.
    2. Ramalho, Esmeralda A. & Caleiro, António & Dionfsio, Andreia, 2011. "Explaining consumer confidence in Portugal," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 25-32, February.
    3. Paiella, Monica, 2007. "Does wealth affect consumption? Evidence for Italy," Journal of Macroeconomics, Elsevier, vol. 29(1), pages 189-205, March.
    4. Shumi Akhtar & Robert Faff & Barry Oliver, 2011. "The asymmetric impact of consumer sentiment announcements on Australian foreign exchange rates," Australian Journal of Management, Australian School of Business, vol. 36(3), pages 387-403, December.
    5. Paolo Chiades & Massimo Gallo & Andrea Venturini, 2003. "L�utilizzo degli indicatori compositi nell'analisi congiunturale territoriale: un'applicazione all'economia del Veneto," Temi di discussione (Economic working papers) 485, Bank of Italy, Economic Research and International Relations Area.
    6. Akhtar, Shumi & Faff, Robert & Oliver, Barry & Subrahmanyam, Avanidhar, 2011. "The power of bad: The negativity bias in Australian consumer sentiment announcements on stock returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1239-1249, May.
    7. Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    8. Loría, Eduardo & Brito, L., 2004. "Is the Consumer Confidence Index a Sound Predictor of the Private Demand in the United States?," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-15, Diciembre.
    9. Paolo Finaldi Russo & Luigi Leva, 2004. "Il debito commerciale in Italia: quanto contano le motivazioni finanziarie?," Temi di discussione (Economic working papers) 496, Bank of Italy, Economic Research and International Relations Area.
    10. Tufan Ekici, 2016. "Subjective Financial Distress in the Formation of Consumer Confidence: Evidence from Novel Household Data," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 30(2), pages 11-36.
    11. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.

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    More about this item

    Keywords

    consumer confidence determinants; GDP indicator; in-sample and out-of-sample forecasting ability;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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