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Uncertainty and sentiment-driven equilibria

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  • Jess Benhabib
  • Pengfei Wang
  • Yi Wen

Abstract

We construct a model to capture the Keynesian idea that production and employment decisions are based on expectations of aggregate demand driven by sentiments and that realized demand follows from the production and employment decisions of firms. We cast the Keynesian idea into a simple model with imperfect information about aggregate demand and we characterize the rational expectations equilibria of this model. We find that the equilibrium is not unique despite the absence of any non-convexities or strategic complementarity in the model. In addition to multiple fundamental equilibria, there can be serially correlated stochastic equilibria driven by self-fulfilling consumer sentiments. Furthermore, these sentiment-driven equilibria are not based on randomizations of the fundamental equilibria.

Suggested Citation

  • Jess Benhabib & Pengfei Wang & Yi Wen, 2013. "Uncertainty and sentiment-driven equilibria," Working Papers 2013-011, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlwp:2013-011
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    Cited by:

    1. Nektarios A. Michail & Konstantinos D. Melas, 2021. "Sentiment-Augmented Supply and Demand Equations for the Dry Bulk Shipping Market," Economies, MDPI, vol. 9(4), pages 1-14, November.
    2. Giuseppe Ciccarone & Francesco Giuli & Enrico Marchetti, 2017. "Prospect Theory And Self-Fulfilling Market Sentiments," Departmental Working Papers of Economics - University 'Roma Tre' 0216, Department of Economics - University Roma Tre.
    3. Dirk Bergemann & Tibor Heumann & Stephen Morris, 2015. "Information and Market Power," Levine's Bibliography 786969000000001101, UCLA Department of Economics.
    4. Svetlana Makarova, 2014. "Risk and Uncertainty: Macroeconomic Perspective," UCL SSEES Economics and Business working paper series 129, UCL School of Slavonic and East European Studies (SSEES).
    5. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Sentiments, financial markets, and macroeconomic fluctuations," Journal of Financial Economics, Elsevier, vol. 120(2), pages 420-443.
    6. Acharya, Sushant & Benhabib, Jess & Huo, Zhen, 2021. "The anatomy of sentiment-driven fluctuations," Journal of Economic Theory, Elsevier, vol. 195(C).
    7. Angelos Kanas & Panagiotis D. Zervopoulos, 2021. "Systemic risk, real GDP growth, and sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 461-485, August.
    8. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Endogenous information acquisition and countercyclical uncertainty," Journal of Economic Theory, Elsevier, vol. 165(C), pages 601-642.
    9. Christopher Biolsi & Bocong Du, 2020. "Do shocks to animal spirits cause output fluctuations?," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 331-368, July.
    10. Christopher Biolsi & Alex Lebedinsky, 2021. "Can changes in sentiments influence consumer behavior? Evidence from the Trump‐Russia investigation," Economic Inquiry, Western Economic Association International, vol. 59(4), pages 1569-1592, October.
    11. Cui, Wei & Kaas, Leo, 2021. "Default cycles," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 377-394.

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    More about this item

    Keywords

    Uncertainty; Equilibrium (Economics);

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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