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The DSK stock-flow consistent agent-based integrated assessment model

Author

Listed:
  • Reissl, Severin
  • Fierro, Luca E.
  • Lamperti, Francesco
  • Roventini, Andrea

Abstract

We present an updated, stock-flow consistent version of the ‘Dystopian Schumpeter meeting Keynes’ agent-based integrated assessment model. By embedding the model in a fully specified accounting system, all balance sheet items and financial flows can be explicitly and consistently tracked throughout a simulation. This allows for improved analysis of climate change and climate policy scenarios in terms of their systemic implications for agent and sector-level balance sheet dynamics and financial stability. We provide an extensive description of the updated model, representing the most detailed outline of a model from the well-established ‘Keynes + Schumpeter’ family available to date. Following a discussion of calibration and validation, we present a range of example scenarios.

Suggested Citation

  • Reissl, Severin & Fierro, Luca E. & Lamperti, Francesco & Roventini, Andrea, 2025. "The DSK stock-flow consistent agent-based integrated assessment model," Ecological Economics, Elsevier, vol. 236(C).
  • Handle: RePEc:eee:ecolec:v:236:y:2025:i:c:s0921800925001247
    DOI: 10.1016/j.ecolecon.2025.108641
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    More about this item

    Keywords

    Climate change; Agent-based models; Integrated assessment;
    All these keywords.

    JEL classification:

    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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