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Different compositions of aggregate sentiment and their impact on macroeconomic stability

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  • Franke, Reiner
  • Westerhoff, Frank

Abstract

In recent times a number of agent-based models have been put forward that specify an aggregate sentiment as the difference between optimists and pessimists and let the agents endogenously switch between the two attitudes. The present paper extends this stylized framework by adding a third category, which may be viewed as neutrality. On this basis it then formulates a dynamic three-dimensional Goodwinian model with a special focus on multiple long-run equilibrium positions, which may emerge from just one and very natural nonlinearity in the switching process. The equilibria exhibit the same difference between optimists and pessimists and thus give rise to the same aggregate rate of growth, so that they cannot be distinguished at the macroeconomic level. The feature in which they nevertheless differ is the share of neutral agents. Remarkably, this affects stability. In particular, the trajectories may converge to one of two locally stable equilibrium points, or alternatively to a uniquely determined limit cycle. Coexistence of these attractors is absent in a two-state sentiment dynamics. Generally, the results may also be of interest to empirical business cycle research.

Suggested Citation

  • Franke, Reiner & Westerhoff, Frank, 2019. "Different compositions of aggregate sentiment and their impact on macroeconomic stability," Economic Modelling, Elsevier, vol. 76(C), pages 117-127.
    • Handle: RePEc:eee:ecmode:v:76:y:2019:i:c:p:117-127
    DOI: 10.1016/j.econmod.2018.07.022
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    References listed on IDEAS

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    1. Orlando Gomes & J. C. Sprott, 2017. "Sentiment-driven limit cycles and chaos," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 729-760, September.
    2. Franke Reiner, 2012. "Microfounded Animal Spirits in the New Macroeconomic Consensus," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-41, October.
    3. John Foster & Burkhard Flieth, 2002. "Interactive expectations," Journal of Evolutionary Economics, Springer, vol. 12(4), pages 375-395.
    4. Orlean, Andre, 1995. "Bayesian interactions and collective dynamics of opinion: Herd behavior and mimetic contagion," Journal of Economic Behavior & Organization, Elsevier, vol. 28(2), pages 257-274, October.
    5. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 137-156.
    6. Nelson H. Barbosa‐Filho & Lance Taylor, 2006. "Distributive And Demand Cycles In The Us Economy—A Structuralist Goodwin Model," Metroeconomica, Wiley Blackwell, vol. 57(3), pages 389-411, July.
    7. Reiner Franke & Frank Westerhoff, 2017. "Taking Stock: A Rigorous Modelling Of Animal Spirits In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1152-1182, December.
    8. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-896, July.
    9. Franke, Reiner, 2014. "Aggregate sentiment dynamics: A canonical modelling approach and its pleasant nonlinearities," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 64-72.
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    Cited by:

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    2. Gardini, Laura & Radi, Davide & Schmitt, Noemi & Sushko, Iryna & Westerhoff, Frank, 2023. "Sentiment-driven business cycle dynamics: An elementary macroeconomic model with animal spirits," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 342-359.
    3. Dávila-Fernández, Marwil J. & Sordi, Serena, 2020. "Attitudes towards climate policies in a macrodynamic model of the economy," Ecological Economics, Elsevier, vol. 169(C).

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    More about this item

    Keywords

    Agent-based modelling; Three-state sentiment dynamics; Herding; Multiple attractors; Goodwin cycles;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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