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Animal spirits, fundamental factors and business cycle fluctuations

Author

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  • Dées, Stéphane
  • Zimic, Srečko

Abstract

This paper explores empirically the role of noisy information in cyclical developments and aims at separating fluctuations that are due to genuine changes in fundamentals from those due to temporary animal spirits or expectational errors (noise shocks). Exploiting the fact that the econometrician has a richer data-set in some dimensions than the consumers, we use a novel identification scheme in a structural vector-autoregressive (SVAR) framework. Our results show that noise shocks are more important for business cycle fluctuations than permanent (or technology) shocks. We also show that technology shocks turn negative a few years before recessions, while noise shocks are very positive at the cycle peaks. By contrast, the recovery from recessions is mostly led by technology shocks, noise shocks remaining negative for some time during this business cycle phase. JEL Classification: C32, E32

Suggested Citation

  • Dées, Stéphane & Zimic, Srečko, 2016. "Animal spirits, fundamental factors and business cycle fluctuations," Working Paper Series 1953, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20161953
    Note: 437240
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    References listed on IDEAS

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    Cited by:

    1. Hector H. Sandoval & Anita N. Walsh, 2021. "The role of consumer confidence in forecasting consumption, evidence from Florida," Southern Economic Journal, John Wiley & Sons, vol. 88(2), pages 757-788, October.
    2. Hector H. Sandoval & Anita N. Walsh, 2024. "Sentiments and spending intentions: Evidence from Florida," Economic Inquiry, Western Economic Association International, vol. 62(3), pages 1046-1073, July.
    3. Laura Nowzohour & Livio Stracca, 2020. "More Than A Feeling: Confidence, Uncertainty, And Macroeconomic Fluctuations," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 691-726, September.
    4. Kenza Benhima & Céline Poilly, 2017. "Do Misperceptions about Demand Matter? Theory and Evidence," Cahiers de Recherches Economiques du Département d'économie 17.08, Université de Lausanne, Faculté des HEC, Département d’économie.
    5. Benhima, Kenza & Poilly, Céline, 2021. "Does demand noise matter? Identification and implications," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 278-295.
    6. Öztürk, B. & Stokman, A.C.J., 2019. "Animal spirits and household spending in Europe and the US," Economics Letters, Elsevier, vol. 185(C).
    7. Jongrim Ha & Inhwan So, 2023. "Global Confidence, Uncertainty, and Business Cycles," International Journal of Central Banking, International Journal of Central Banking, vol. 19(1), pages 451-493, March.

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    More about this item

    Keywords

    animal spirits; business cycles; identification; Kalman filter; noise shocks; signal-extraction problem; structural vector autoregression; technology shocks;
    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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