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Aggregate sentiment dynamics: A canonical modelling approach and its pleasant nonlinearities

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  • Franke, Reiner

Abstract

The paper is an attempt at an alternative to the rational expectations assumption in macroeconomic modelling. Emphasizing the concept of sentiment in contrast to the expectations of a single selected variable, it is meant to take an important step forward towards a canonical heterodox framework for the microfounded modelling of irreducible uncertainty and, specifically, herding. Referring to a large population of agents who repeatedly face a binary decision problem, two stylized approaches are considered to describe the aggregate sentiment dynamics: the transition probability and the discrete choice approach. After a slight modification of the latter, the two specifications are shown to give rise to essentially the same adjustment equations. In addition to these conceptual issues, a two-dimensional prototype model is put forward which can illustrate the rich potential of an inherent nonlinearity to generate scenarios with single and multiple (point and set) attractors.

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  • 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.
    • Handle: RePEc:eee:streco:v:31:y:2014:i:c:p:64-72
    DOI: 10.1016/j.strueco.2014.08.001
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    Cited by:

    1. Roberto Veneziani & Luca Zamparelli & 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.
    2. Datta, Bikramaditya & Sethi, Rajiv, 2023. "The dynamics of leverage and the belief distribution of wealth," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 20-31.
    3. 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.
    4. Murakami, Hiroki, 2018. "Existence and uniqueness of growth cycles in post Keynesian systems," Economic Modelling, Elsevier, vol. 75(C), pages 293-304.
    5. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank, 2018. "Interactions between stock, bond and housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 43-70.
    6. Flaschel, Peter & Charpe, Matthieu & Galanis, Giorgos & Proaño, Christian R. & Veneziani, Roberto, 2018. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 237-256.
    7. Greg Philip Hannsgen & Tai Young-Taft, 2021. "Expectational and Portfolio-Demand Shifts in a Keynesian Model of Monetary Growth Fluctuations," Working Papers PKWP2112, Post Keynesian Economics Society (PKES).
    8. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    9. Bikramaditya Datta & Rajiv Sethi, 2023. "The Dynamics of Leverage and the Belief Distribution of Wealth," Papers 2304.03436, arXiv.org.
    10. Dimitri Kroujiline & Maxim Gusev & Dmitry Ushanov & Sergey V. Sharov & Boris Govorkov, 2018. "An Endogenous Mechanism of Business Cycles," Papers 1803.05002, arXiv.org, revised Sep 2019.
    11. Reiner Franke, 2018. "Competitive moment matching of a New-Keynesian and an Old-Keynesian model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 201-239, July.
    12. Hiroki Murakami, 2019. "A note on the “unique” business cycle in the Keynesian theory," Metroeconomica, Wiley Blackwell, vol. 70(3), pages 384-404, July.
    13. Dimitri Kroujiline & Maxim Gusev & Dmitry Ushanov & Sergey V. Sharov & Boris Govorkov, 2015. "Forecasting stock market returns over multiple time horizons," Papers 1508.04332, arXiv.org, revised Mar 2016.
    14. Murakami, Hiroki, 2020. "Monetary policy in the unique growth cycle of post Keynesian systems," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 39-49.
    15. Dimitri Kroujiline & Maxim Gusev & Dmitry Ushanov & Sergey V. Sharov & Boris Govorkov, 2016. "Forecasting stock market returns over multiple time horizons," Quantitative Finance, Taylor & Francis Journals, vol. 16(11), pages 1695-1712, November.
    16. Kroujiline, Dimitri & Gusev, Maxim & Ushanov, Dmitry & Sharov, Sergey V. & Govorkov, Boris, 2015. "Forecasting stock market returns over multiple time horizons," MPRA Paper 66175, University Library of Munich, Germany.
    17. Murakami, Hiroki & Zimka, Rudolf, 2020. "On dynamics in a two-sector Keynesian model of business cycles," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).

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    More about this item

    Keywords

    Logit dynamics; Herding; Microfounded animal spirits; Local and global bifurcations; Post-Keynesian modelling;
    All these keywords.

    JEL classification:

    • D - Microeconomics
    • D - Microeconomics
    • E - Macroeconomics and Monetary Economics
    • E - Macroeconomics and Monetary Economics

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