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Climate Disaster Risks – Empirics and a Multi-Phase Dynamic Model

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  • Stefan Mittnik
  • Willi Semmler
  • Alexander Haider

Abstract

Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors via the destruction of capital stocks and jumps in risk premia. These disruptions often entail negative feedback e?ects on the macroecon-omy. Research on disaster risks has also actively been pursued in the macroeconomic models of climate change. Our paper uses insights from the former work to study disaster risks in the macroeconomics of climate change and to spell out policy needs. Empirically the link between carbon dioxide emission and the frequency of climate re-lated disaster is investigated using cross-sectional and panel data. The modeling part then uses a multi-phase dynamic macro model to explore this causal nexus and the e?ects of rare large disasters resulting in capital losses and rising risk premia. Our proposed multi-phase dynamic model, incorporating climate-related disaster shocks and their aftermath as one phase, is suitable for studying mitigation and adaptation policies.

Suggested Citation

  • Stefan Mittnik & Willi Semmler & Alexander Haider, 2019. "Climate Disaster Risks – Empirics and a Multi-Phase Dynamic Model," IMF Working Papers 2019/145, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2019/145
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    2. Andreas Breitenfellner & Wolfgang Pointner & Helene Schuberth, 2019. "The Potential Contribution of Central Banks to Green Finance," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 88(2), pages 55-71.

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    More about this item

    Keywords

    WP; monetary policy; capital stock; low income; risk pooling; climate economics; disaster risk; macro feedbacks; multi-phase macro model; monetary and financial policies; environmental economics; bond financing; credit policy; climate finance policy; bond issuing; climate bond; Bonds; Greenhouse gas emissions; Climate change; Climate policy; Natural disasters; Central Asia; Sub-Saharan Africa; East Asia; North Africa; Middle East;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C - Mathematical and Quantitative Methods
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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