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A Keynes-Kalecki Model of Cyclical Growth with Agent-Based Features

Author

Listed:
  • Mark Setterfield

    (Department of Economics, Trinity College)

  • Andrew Budd

    (Sloan School of Management, MIT)

Abstract

Throughout his career, Malcolm Sawyer has both encouraged and contributed to the development of a Kaleckian alternative to conventional macroeconomic theory. In the spirit of this endeavour, we construct a Keynes-Kalecki model of cyclical growth with agent-based features. Our model is driven by heterogeneous firms who, confronting an environment of fundamental uncertainty, revise their “state of long run expectations” in response to recent events. Model simulations generate fluctuations in the rate of growth that are aperiodic and of variable amplitude. We also study the size distribution of firms resulting from our simulations, finding evidence of a power law distribution that we have no reason to anticipate from the basic structure of our model. Finally, we reflect on the potential advantages of combining aggregate structural modelling with some of the methods and practices of agent-based computational economics.

Suggested Citation

  • Mark Setterfield & Andrew Budd, 2010. "A Keynes-Kalecki Model of Cyclical Growth with Agent-Based Features," Working Papers 1008, Trinity College, Department of Economics.
    • Handle: RePEc:tri:wpaper:1008
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    File URL: https://www3.trincoll.edu/repec/WorkingPapers2010/wp10-08.pdf
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    Cited by:

    1. Citera, Emanuele & Gouri Suresh, Shyam & Setterfield, Mark, 2023. "The network origins of aggregate fluctuations: A demand-side approach," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 111-123.
    2. Ettore Gallo, 2022. "When is the long run?—Historical time and adjustment periods in demand‐led growth models," Metroeconomica, Wiley Blackwell, vol. 73(4), pages 1155-1178, November.
    3. Setterfield, Mark & Kim, Yun K., 2016. "Debt servicing, aggregate consumption, and growth," Structural Change and Economic Dynamics, Elsevier, vol. 36(C), pages 22-33.
    4. Ettore Gallo & Mark Setterfield, 2022. "Historical Time and the Current State of Post-Keynesian Growth Theory," Working Papers 2204, New School for Social Research, Department of Economics.
    5. Mark Setterfield & Bill Gibson, 2013. "Real and financial crises: A multi-agent approach," Working Papers 1309, Trinity College, Department of Economics, revised Jul 2014.
    6. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    More about this item

    Keywords

    Kaleckian model; growth; cycles; agent-based computational economics;
    All these keywords.

    JEL classification:

    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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